Monday 25 July 2022. No Result . View All Result Afew of the highlighted specs of the phone include a Snapdragon 720G SoC with 4Gbn RAM and 64GB UFS 2.1 storage, a big 5,020mAh battery, a 6.6-inch tall FHD+ display, a 48MP quad-rear & a 16MP punch-hole camera, a side-fingerprint scanner, etc. Read more about the Redmi Note 10 Lite details and see if it matches your preferences. Karenateknologi video streaming merupakan pengiriman paket data yang menggunakan jaringan paket suara yang hanya dapat melakukan transmisi data yang berupa sinyal analog. Sehingga data digital yang dihasilkan oleh perangkat sumber yang berupa kamera harus dikodekan ke dalam sinyal analog agar dapat ditransmisikan oleh jaringan. MPEG 2 dan Bungkuskain pada pelindung yang dapat dipakaikan pada kamera film atau blimped kamera film, untuk mengurangi siara mekanisme. dengan arti melakukan perlahan dan bertahap. Dual Role : Pemutaran lebih dari satu bagian peran seorang aktor/aktris dalam sebuah film yang sama. Dubbing : Watermark theme. Intel® Pentium ® 4 3.2GHz prosesor (dual prosesor Intel Xeon ® direkomendasikan), 2GB RAM (4GB disarankan), 1Gb Ethernet card, sementara Adobe ® Flash ® Media Server berjalan pada perangkat keras 64-bit, hal ini memerlukan sebuah sistem operasi 32-bit atau sistem operasi 64-bit yang mendukung program-program 32-bit. 3. 3D Studio Max Metode3Menambahkan Tanda Tangan Melalui Komputer Mac. 1. Buka dokumen di Microsoft Word. Klik dua kali dokumen Word yang ingin ditambahi tanda tangan digital. Jika ingin membuat dokumen baru, buka Microsoft Word, klik menu “ File ”, kemudian pilih “ New Document ” dari menu drop-down. 2. Klik File. S06P. Digital watermarking is the technique used to embed author's credentials, logo or some other information into digital images which can be used in authentications for courtroom evidence, copyright claims and other applications. The objective of this work is to develop a feasible and invisible watermark embedding hardware for the secure digital cameras using LeGall 5/3 Discrete Wavelet Transform DWT. Bind watermarking tecnique is proposed here. The proposed architecture considers constraints of digital camera such as area, speed, power, robustness and invisibility. The algorithm is evaluated under the attacks like JPEG Joint Photographic Experts Group compression, noise, scaling and rotation to verify robustness and invisibility properties. Watermarking processor is described using Verilog HDL and synthesized using μm technology UMC standard cell library for VLSI implementation. To read the full-text of this research, you can request a copy directly from the authors.... DWT based implementation needs to store results at each level of computation, so the memory requirement increases. This is one of the reasons for higher area requirement compared to DCT based approaches [10]. ...... An authentication digital camera is a camera with built-in copyright protection and security mechanism for images produced by it. [10,19,20] have presented various secure digital camera models. ...... In [10] DWT based implementation is used to develop a feasible and invisible watermark embedding hardware for the secure digital camera. The proposed scheme of the secure watermarking has described using Verilog HDL, and synthesized using technology UMS standard cell library for VLSI implementation. ...Mustafa Osman Rameshwar RaoThe increasing amount of applications using digital multimedia technologies has accentuated the need to provide copyright protection to multimedia data. This paper reviews watermarking techniques, by focusing on the hardware based implementation of digital image watermarking. Digital watermarking is an authentication method that has received a lot of attention in the past few years. Through this paper we will survey some digital image watermarking schemes which have been implemented by using hardware techniques. Also the study shows the similarities and differences between different types and then assesses the benefits gained from the use of this technology.... A method for field programmable gate array FPGA and System-on-Chip SoC implementation is part of this research. In [11], the authors demonstrate a hardware capable of an invisible watermark embedding with the LeGall 5/3 Discrete Wavelet Transform DWT. The suggested structural design addresses the limitations of standard digital cameras. ...Smart Healthcare is envisioned as the combination of traditional healthcare augmented by smart bio-sensors, wearable devices and a plethora of on-body sensors that communicate with smart hospitals, smart emergency response systems, and ambulances, through advanced information and communication technologies. The vision of smart healthcare as part of a smart city relies on the framework of the Internet of Things IoT as the underlying core technology that enables the design and operation of a city, whereby smart technology, energy grids, transportation, buildings, communication, and information technology, are all interconnected. The present paper address some of the challenges faced in the IoT infrastructure, specifically secure communication and user authentication in the context of automated analysis of biomedical images and communication of the analysis results and related metadata in a smart healthcare framework. A hardware architecture for a Secure Digital Camera SDC integrated with the Secure Better Portable Graphics SBPG compression algorithm, suitable for applications in the IoT, is proposed in this paper. The focus of this work is on patient data protection and authentication. The proposed SBPG architecture offers two layers of protection concurrent encryption and watermarking which address all issues related to security, privacy, and digital rights management DRM. The experimental results demonstrate that the new compression technique BPG outperforms JPEG in terms of compression quality and compressed file size while providing increased image quality. High performance requirements of BPG have been met by employing two techniques 1 insertion of an encrypted signature in the center portion of the image, and 2 frequency domain watermarking using block-wise DCT of size 8×8 pixels. These approaches optimize the proposed architecture by decreasing computational complexity while maintaining strong protection, with concomitant increase of the speed of the watermarking and compression processes. A Simulink prototype for the proposed architecture has been built and tested. To the best of the authors’ knowledge, the hardware architecture for BPG compression with built-in image authentication capability for integration with a secure digital camera is the first one ever proposed.... It also provides a method for field programmable gate array FPGA implementation. Darji et al. [2] show hardware capable of entrenching invisible watermark using LeGall 5/3 Discrete Wavelet Transform DWT. In [3], a novel scheme is introduced to support pictures and illustrations captured by digital cameras. ...This paper proposes a hardware architecture for a Secure Digital Camera SDC integrated with Secure Better Portable Graphics SBPG compression algorithm. The proposed architecture is suitable for high performance imaging in the Internet of Things IoT. The objectives of this paper are twofold. On the one hand, the proposed SBPG architecture offers double-layer protection encryption and watermarking. On the other hand, the paper proposes SDC integrated with secure BPG compression for real time intelligent traffic surveillance ITS. The experimental results prove that the new compression technique BPG outperforms JPEG in terms of compression quality and size of the compression file. As the visual quality of the watermarked and compressed images improves with larger values of PSNR, the results show that the proposed SBPG substantially increases the quality of the watermarked compressed images. To achieve a high performance architecture three techniques are considered first, using the center portion of the image to insert the encrypted signature. Second, watermarking is done in the frequency domain using block-wise DCT size 8×8. Third, in BPG encoder, the proposed architecture uses inter and intra prediction to reduce the temporal and spatial redundancy.... Its compatibility was also assessed with different multi-media constructing electrical devices, and system-on-achip SoC technology is a central component of the model. Darji et al. [17] show the development of hardware capable of entrenching invisible watermarks using a LeGall 5/3 Discrete Wavelet Transform DWT. In the suggested structural design, the authors have considered all the limitations of a digital camera. ...Image or video exchange over the Internet of Things IoT is a requirement in diverse applications, including smart health care, smart structures, and smart transportations. This paper presents a modular and extensible quadrotor architecture and its specific prototyping for automatic tracking applications. The architecture is extensible and based on off-the-shelf components for easy system prototyping. A target tracking and acquisition application is presented in detail to demonstrate the power and flexibility of the proposed design. Complete design details of the platform are also presented. The designed module implements the basic proportional–integral–derivative control and a custom target acquisition algorithm. Details of the sliding-window-based algorithm are also presented. This algorithm performs $20times $ faster than comparable approaches in OpenCV with equal accuracy. Additional modules can be integrated for more complex applications, such as search-and-rescue, automatic object tracking, and traffic congestion analysis. A hardware architecture for the newly introduced Better Portable Graphics BPG compression algorithm is also introduced in the framework of the extensible quadrotor architecture. Since its introduction in 1987, the Joint Photographic Experts Group JPEG graphics format has been the de facto choice for image compression. However, the new compression technique BPG outperforms the JPEG in terms of compression quality and size of the compressed file. The objective is to present a hardware architecture for enhanced real-time compression of the image. Finally, a prototyping platform of a hardware architecture for a secure digital camera SDC integrated with the secure BPG SBPG compression algorithm is presented. The proposed architecture is suitable for high-performance imaging in the IoT and is prototyped in Simulink. To the best of our- knowledge, this is the first ever proposed hardware architecture for SBPG compression integrated with an embeddings are fundamentally a form of word representation that links the human understanding of knowledge meaningfully to the understanding of a machine. The representations can be a set of real numbers a vector. Word embeddings are scattered depiction of a text in an n-dimensional space, which tries to capture the word meanings. This paper aims to provide an overview of the different types of word embedding techniques. It is found from the review that there exist three dominant word embeddings namely, Traditional word embedding, Static word embedding, and Contextualized word embedding. BERT is a bidirectional transformer-based Contextualized word embedding which is more efficient as it can be pre-trained and fine-tuned. As a future scope, this word embedding along with the neural network models can be used to increase the model accuracy and it excels in sentiment classification, text classification, next sentence prediction, and other Natural Language Processing tasks. Some of the open issues are also discussed and future research scope for the improvement of word encoding complexity of an image format is a vigorously updating area of study in the field of two-layer protection with wavelet transform compression. In the proposed method, hybrid 2D-FDCT watermarking and RSA encryption for multispectral images predicted an efficient system. This approach satisfies the encryption security, robustness and classification accuracy retention of an algorithm. The two-layer protection of encrypted and embedded watermark image followed by wavelet transform compression minimizes the file size in the exhaustive process for encoding. An important merit is that encoding time is very much reduced in contrast to other security and compression mechanisms. The enhanced value of PSNR as well as trade-off of MES, normalized cross-correlation, the average difference and structural content improves the storage large file size medical image and improves bandwidth to an acceptable level. Priya DhinaMamatha G SKeratoconus detection and diagnosis has become a crucial step of primary importance in the preoperative evaluation for the refractive surgery. With the ophthalmology knowledge improvement and technological advancement in detection and diagnosis, artificial intelligence AI technologies like machine learning ML and deep learning DL play an important role. Keratoconus being a progressive disease leads to visual acuity and visual quality. The real challenge lies in acquiring unbiased dataset to predict and train the deep learning models. Deep learning plays a very crucial role in upturning ophthalmology division. Detecting early stage keratoconus is a real challenge. Hence, our work aims to primarily focus on detecting an early stage and multiple classes of keratoconus disease using deep learning models. This review paper highlights the comprehensive elucidation of machine learning and deep learning models used in keratoconus detection. The research gaps are also identified from which to obtain the need of the hour for detecting keratoconus in humans even before the symptoms are Pendyala Aniket GokhaleThis paper utilizes a spatial domain Watermarking algorithm applicable on grayscale images. Spatial domain technique is utilized taking advantage of it low computational complexity. The initial stage of approach is accomplished by building the algorithm on MATLAB R2014a© platform and then shifting the base to ISE Design Suite platform. The VLSI implementation of the spatial domain Watermarking algorithm is targeted on device xc5vlx50t-1ff1136 of Virtex-5 family. The robustness of the Watermarking algorithm is verified by attacking the Watermarked image with various types of noise, compression, transformation and geometrical attacks. The application of Multiple Watermarking technique also renders the effectiveness and robustness of the watermarking this paper, 2D integer wavelet transform based watermarking is carried out for the grayscale image with its VLSI architectural implementations. In the 2D integer wavelet transformation the lifting scheme is adopted and the watermarking operation is carried out in the LL2 frequency subbands. The entire watermark embedding process and extraction process are modeled in MATLAB and analyzed against the signal processing attacks like compression, salt & pepper noise, rotation and Intensity transformation attacks. Finally the same algorithm is modeled using Verilog HDL and implemented using ALTERA paper proposes a new spatial domain watermarking of grayscale images and has also shown its VLSI Implementation without altering its content in real time using a secret key. The secret key is generated by searching the watermark pixel values in host image content and the location maps are marked in secret key. Therefore this algorithm is called PVSA- Pixel Value Search Algorithm. The proposed algorithm does not make any change in the host image. Thus it shows high robustness to signal processing attacks. The watermark extraction process is simple as the host content is extracted based on key. We have evaluated the robustness of the algorithm against several signal processing attacks using MATLAB. Finally we have implemented the same algorithm in verilog HDL using Altera is the process that embeds data called a watermark, tag or label into a multimedia object, such as images, video or text for their copyright protection. According to human perception, the digital watermarks can either be visible or invisible. A visible watermark is a secondary translucent image overlaid into the primary image and appears visible to a viewer on a careful inspection. The invisible watermark is embedded in such a way that the modifications made to the pixel value is perceptually not noticed and it can be recovered only with an appropriate decoding mechanism. In this paper, we present a new VLSI architecture for implementing two visible digital image watermarking schemes. The proposed architecture is designed aiming at easy integration into any existing digital camera framework. To our knowledge, this is the first VLSI architecture for implementing visible watermarking schemes. A prototype chip consisting of 28469 gates is implemented using 035" technology, which consumes 69mW power while operating at 292MHz. Saraju P. MohantyRenuka Kumara CSridhara NayakBoth encryption and digital watermarking techniques need to be in- corporated in a digital rights management framework to address different aspects of content management. While encryption transforms original multimedia ob- ject into another form, digital watermarking leaves the original object intact and recognizable. The objective is to develop low power, real time, reliable and se- cure watermarking systems, which can be achieved through hardware implemen- tations. In this paper, we present an FPGA based implementation of an invisi- ble spatial domain watermarking encoder. The watermarking encoder consists of a watermark generator, watermark insertion module, and a controller. Most of the invisible watermarking algorithms available in the literature and also the al- gorithm implemented in this paper insert pseudorandom numbers to host data. Therefore, we focus on the structural design aspects of watermarking generator using linear feedback shift register. We synthesized the prototype watermarking encoder chip using Xilinx this brief, we present a new VLSI architecture that can insert invisible or visible watermarks in images in the discrete cosine transform domain. The proposed architecture incorporates low-power techniques such as dual voltage, dual frequency, and clock gating to reduce the power consumption and exploits pipelining and parallelism extensively in order to achieve high performance. The supply voltage level and the operating frequency are chosen for each module so as to maintain the required bandwidth and throughput match among the different modules. A prototype VLSI chip was designed and verified using various Cadence and Synopsys tools based on TSMC technology with M transistors and mW of estimated dynamic is the process that embeds data called a watermark, a tag, or a label into a multimedia object, such as images, video, or text, for their copyright protection. According to human perception, the digital watermarks can either be visible or invisible. A visible watermark is a secondary translucent image overlaid into the primary image and appears visible to a viewer on a careful inspection. The invisible watermark is embedded in such a way that the modifications made to the pixel value is perceptually not noticed, and it can be recovered only with an appropriate decoding mechanism. This paper presents a new very large scale integration VLSI architecture for implementing two visible digital image watermarking schemes. The proposed architecture is designed to aim at easy integration into any existing digital camera framework. To the authors' knowledge, this is the first VLSI architecture for implementing visible watermarking schemes. A prototype chip consisting of 28 469 gates is implemented using mu/m technology, which consumes power while operating at 292 this paper, we propose an architecture that performs the forward and inverse discrete wavelet transform DWT using a lifting-based scheme for the set of seven filters proposed in JPEG2000. The architecture consists of two row processors, two column processors, and two memory modules. Each processor contains two adders, one multiplier, and one shifter. The precision of the multipliers and adders has been determined using extensive simulation. Each memory module consists of four banks in order to support the high computational bandwidth. The architecture has been designed to generate an output every cycle for the JPEG2000 default filters. The schedules have been generated by hand and the corresponding timings listed. Finally, the architecture has been implemented in behavioral VHDL. The estimated area of the proposed architecture in technology is mm square, and the estimated frequency of operation is 200 Mhz. Ingrid DaubechiesWim SweldensThis article is essentially tutorial in nature. We show how any discrete wavelet transform or two band subband filtering with finite filters can be decomposed into a finite sequence of simple filtering steps, which we call lifting steps but that are also known as ladder structures. This decomposition corresponds to a factorization of the polyphase matrix of the wavelet or subband filters into elementary matrices. That such a factorization is possible is well-known to algebraists land expressed by the formula SLn; R[z, z-1] = En; R[z, z-1]; it is also used in linear systems theory in the electrical engineering community. We present here a self-contained derivation, building the decomposition from basic principles such as the Euclidean algorithm, with a focus on applying it to wavelet filtering. This factorization provides an alternative for the lattice factorization, with the advantage that it can also be used in the biorthogonal, non-unitary case. Like the lattice factorization, the decomposition presented here asymptotically reduces the computational complexity of the transform by a factor two. Ir has other applications, such as the possibility of defining a wavelet-like transform that maps integers to integers. Ingrid DaubechiesWim SweldensThis paper is essentially tutorial in nature. We show how any discrete wavelet transform or two band subband ltering with nite lters can be decomposed into a nite sequence of simple lter - ing steps, which we call lifting steps but that are also known as ladder structures. This decomposition corresponds to a factorization of the polyphase matrix of the wavelet or subband lters into elementary matrices. That such a factorization is possible is well-known to algebraists and expressed by the formula ; it is also used in linear systems theory in the electrical engineering community. We present here a self-contained derivation, building the decomposition from basic principles such as the Euclidean algorithm, with a focus on applying it to wavelet ltering. This factorization provides an alternative for the lattice factorization, with the advantage that it can also be used in the biorthogonal, non-unitary case. Like the lattice factorization, the decomposition presented here asymptotically re- duces the computational complexity of the transform by a factor two. It has other applications, such as the possibility of dening a wavelet-like transform that maps integers to HuangChangsheng YangWatermarking is a technique for labeling digital picture by hiding secret information in the images. This paper presents a method of watermark embedding and extracting based on discrete wavelet transform of blocks and Arnold transform. Different with most previous work, which uses a random number of a sequence of bits as a watermark, the proposed method embeds a watermark with visual recognizable patterns, such as gray image in images. In the proposed method, each pixel of watermark is embedded in the wavelet coefficient of the middle and low frequency of a block in the images. Unlike other watermarking techniques that use a single casting energy, this method casts watermarks in multi-energy level. The performance of the proposed watermarking is robust to variety of signal distortions, such a JPEG, image cropping, sharpening, and blurring ChenJeanne ChenJian-Guo ChenIn this paper we propose an effective watermark scheme for embedding and extracting based on the JPEG2000 Codec process. Our embedding algorithm applies the torus automorphisms TA technique to break up and scramble a watermark. The scrambled watermark was embedded into the quantized bitstreams of JPEG2000 before the entropy coding stage. Distortion reduction DR was applied to the compressed image to lessen image degradation caused by the embedding process. Our watermark scheme is simple and easy to implement. Furthermore, it is robust to attacks like blurring, edge enhancement, and other image processing Lim Soonyoung ParkSeong-Jun KangWan-Hyun ChoIn this paper, we present an FPGA implementation of a watermarking-based authentication algorithm for a digital camera to authenticate the snapshots in a manner that any changes of contents in the still image will be reflected in the embedded watermark. All components of a digital camera and a watermark algorithm are implemented in VHDL, simulated, synthesized and loaded into an FPGA device. To achieve the semifragile characteristics that survive a certain amount of compression, we employ the property of DCT coefficients quantization proposed by Lin and Chang 2000. The binary watermark bits are generated by exclusive ORing the binary logo with pseudo random binary sequence. Then watermark bits are embedded into the LSBs of DCT coefficients in the medium frequency range. The system consists of three main parts image capture and LCD controller, watermark embedding part, and camera control unit. The FPGA implemented digital camera is tested to analyze the performance. It is shown that the watermarking algorithm can embed the watermark into the original image coming from a sensor much faster than the software implementation and the embedded image is easily transmitted to the PC by using the USB interface. The quality of the transmitted image is also comparable to the one implemented by a software SatyanarayanaR. Satish Kumar Udipi NiranjanDigital watermarking is a technique of embedding imperceptible information into digital documents. In this paper, a VLSI implementation of the digital watermarking technique is presented for 8 bit gray scale images. This implementation of fragile invisible watermarking is carried out in the spatial domain. The standard ASIC design flow for a μm CMOS technology has been used to implement the algorithm. The area of the chip is 3453×3453 μm2 and the power consumption is lifting based 1-D discrete wavelet transform DWT core is proposed. It is re-configurable for 5/3 and 9/7 filters in JPEG2000. Folded architecture is adopted to reduce the hardware cost and achieve the higher hardware utilization. Multiplication is realized in hardwired multiplier with coefficients represented in canonic signed-digit CSD form. It is a compact and efficient DWT core for the hardware implementation of JPEG2000 encoderJames L. MannosDavid J. SakrisonShannon's rate-distortion function provides a potentially useful lower bound against which to compare the rate-versus-distortion performance of practical encoding-transmission systems. However, this bound is not applicable unless one can arrive at a numerically-valued measure of distortion which is in reasonable correspondence with the subjective evaluation of the observer or interpreter. We have attempted to investigate this choice of distortion measure for monochrome still images. This investigation has considered a class of distortion measures for which it is possible to simulate the optimum in a rate-distortion sense encoding. Such simulation was performed at a fixed rate for various measures in the class and the results compared subjectively by observers. For several choices of transmission rate and original images, one distortion measure was fairly consistently rated as yielding the most satisfactory appearing encoded SweldensIn this paper we present the basic idea behind the lifting scheme, a new construction of biorthogonal wavelets which does not use the Fourier transform. In contrast with earlier papers we introduce lifting purely from a wavelet transform point of view and only consider the wavelet basis functions in a later stage. We show how lifting leads to a faster, fully in-place implementation of the wavelet transform. Moreover, it can be used in the construction of second generation wavelets, wavelets that are not necessarily translates and dilates of one function. A typical example of the latter are wavelets on the sphere. Keywords wavelet, biorthogonal, in-place calculation, lifting 1 Introduction At the present day it has become virtually impossible to give the definition of a "wavelet". The research field is growing so fast and novel contributions are made at such a rate that even if one manages to give a definition today, it might be obsolete tomorrow. One, very vague, way of thinking about...Design and implementation of a progressive image coding chip based on the lifting wavelet transformC C LiuY H ShiauJ M Jou Ingin melindungi karyamu? Berikut adalah penjelasan lengkap mengenai watermark beserta contoh dan cara membuatnya. Zaman sekarang, karya-karya yang diposting di media sosial atau platform lainnya mudah sekali untuk diklaim orang lain. Tapi kamu tidak perlu khawatir, karena kamu bisa menggunakan watermark. Watermark adalah hak cipta yang digunakan untuk menandakan bahwa sebuah karya adalah milikmu. Watermark bisa hadir dalam bentuk logo atau tulisan agar orang lain tidak bisa mengaku bahwa karya tersebut adalah miliknya. Kalau kamu sering berkarya, kamu wajib untuk mengetahui definisi dan cara membuatnya. Yuk, simak penjelasan lengkap mengenai watermark berikut ini. BACA JUGA 5 Jenis Pekerjaan yang Cocok untuk Fresh Graduate Pengertian Watermark Sumber Gambar Freepik Watermark adalah sebuah tanda yang dapat berupa teks, logo, ataupun pola yang dimasukkan pada sebuah karya untuk menandakan kepemilikan dari karya tersebut. Kamu pasti pernah melihatnya. Saat kamu menonton video YouTuber ternama, kamu bisa melihat logo atau nama mereka di videonya. Atau mungkin kamu melihatnya di foto-foto atau gambar online. Watermark ini biasanya dibuat dengan ukuran yang kecil atau transparan untuk melindung hak cipta dari karya tersebut. Namun, ada juga yang membuatnya dalam ukuran besar dan biasanya ditemukan di situs download gambar. Fungsi Watermark Watermark memiliki beberapa kegunaan. Kegunaan yang paling umum adalah untuk melindungi hak cipta sebuah karya. Watermark mencegah orang lain menggunakan karyamu tanpa izin. Jadi ketika kamu posting karyamu di media sosial, orang lain tidak bisa sembarang memposting ulang dan mengklaimnya. Selain itu, watermark juga bisa digunakan untuk branding. Logo yang kamu buat bisa digunakan untuk mempromosikan karyamu. Sehingga saat orang lain melihatnya, mereka akan langsung kenal dengan penciptanya. Contoh Watermark Sumber Gambar Visual Watermark Dari gambar diatas, kamu bisa melihat dua cara menggunakan watermark untuk melindungi hak cipta foto kamu. Pada bagian kiri, watermark ditampilkan di seluruh bagian foto, sedangkan bagian kanan menampilkannya di tengah-tengah foto. Dengan kedua cara tersebut, orang tidak akan bisa meng-crop logo watermark tersebut, dan kamu perlu membayar pemiliknya untuk menghilangkannya. Cara Membuat Watermark Jika kamu ingin mendesain dan menciptakan watermark sendiri, berikut adalah cara membuat watermark sendiri. 1. Pilih Sarana Pembuatan Watermark Sekarang ada banyak sarana pembuatan watermark yang bisa membantu Toppers untuk membuat watermark sendiri. Salah satu contohnya adalah Adobe Photoshop. Ada banyak pilihan lainnya yang bisa kamu temukan di internet. Jika kamu menggunakan ponsel, kamu juga bisa mencarinya di Google Play Store atau App Store. 2. Pilih Foto atau Karya dan Buat Salinannya Pilih foto atau karya yang ingin kamu tambahkan watermark dan buat salinan aslinya terlebih dahulu. Hal ini dilakukan untuk menyimpan karya asli tanpa watermark. 3. Pilih Posisi Watermark Tergantung dari tujuannya, penempatan watermark harus ditentukan dengan baik. Penempatan ini perlu dilakukan dengan hati-hati agar watermark tersebut tidak mengurangi keindahan karyamu. Namun, jika kamu ingin memastikan orang lain tidak bisa menghapusnya, kamu bisa menempatkannya di tengah-tengah gambar atau karya. 4. Buat Watermark sebagai Bagian dari Karya Kamu bisa menjadikan watermark sebagai bagian dari karyamu dengan menempatkannya di posisi yang luput dari perhatian orang. Watermark bisa kamu integrasikan ke dalam karyamu. Proses ini mungkin dapat memakan waktu, namun akan sangat bermanfaat untuk karyamu. 5. Posisikan Watermark di Area Komposit Gambar Dengan kecanggihan teknologi sekarang, watermark dapat dihilangkan dengan mudah menggunakan aplikasi photoshop jika kamu menempatkannya pada latar belakang dengan warna kontras. Untuk membuatnya lebih sulit untuk dihapus, kamu bisa menaruhnya di area komposit gambar dan menyesuaikan tingkat transparansinya. 6. Gunakan Warna Semi Transparan Tingkat transparansi dari watermark memang bebas. Namun jika watermark terlihat terlalu jelas, hal tersebut akan mengurangi keindahan karyanya. Kamu bisa menggunakan warna semi transparan agar watermark terlihat menyatu dengan gambar atau karyamu. 7. Cantumkan Informasi Diri Seperti yang dikatakan sebelumnya, watermark bisa kamu gunakan untuk branding. Kamu bisa melakukannya dengan mencantumkan informasi diri. Sebagai contoh, kamu bisa menggunakan simbol ©, menuliskan nama pemilik, atau menampilkan tanggal publikasi karya tersebut. BACA JUGA 8 Contoh Kop Surat, Bagian Penting dalam Surat Formal Itu dia, Toppers, penjelasan mengenai watermark serta contoh dan cara membuatnya. Selain melindungi karyamu, watermark juga dapat membuatnya terlihat lebih profesional. Kalau kamu sedang mencari alat kantor, kamu bisa mendapatkannya dengan harga terbaik di Tokopedia. Yuk, kunjungi sekarang dan nikmati berbagai promo menarik! Penulis Keefe Adrian Watermark adalah identitas yang dibubuhkan pada sebuah karya oleh penciptanya. Identitas tersebut dapat berupa logo, tulisan, atau ikon gambar. Kamu tentu sering menemukan watermark di berbagai karya. Misalnya saat menonton video TikTok, watermark-nya yaitu username si pemilik akun. Memangnya, penggunaan watermark ini untuk apa, sih? Yuk cari tahu fungsi, jenis, hingga cara membuat watermark di artikel ini! Apa Itu Watermark? Watermark adalah sebuah logo, gambar, atau tulisan yang dengan sengaja dimasukkan pada sebuah karya atau konten. Watermark dimasukkan dalam sebuah karya bukan tanpa alasan, melainkan untuk melindungi karya tersebut dari plagiasi dan penjiplakan. Dengan menggunakan watermark, karyamu akan lebih diakui kepemilikannya sehingga tidak mudah dicuri atau diklaim orang lain. Meski dimasukkan ke dalam sebuah karya, biasanya watermark dibuat kecil atau semi transparan sehingga tidak mengganggu tampilan karya. Sesuai namanya, watermark tanda air ini biasanya hanya terlihat samar dan semi transparan. Pada abad ke-13, pembuatannya dilakukan di atas kertas dengan cara mengubah ketebalan kertas yang masih basah pada bagian yang akan diberi watermark. Kemudian bagian tersebut akan ditekan dengan cetakan gambar sehingga ketika sudah kering nanti terbentuklah kertas yang ber-watermark sesuai cetakan tadi. Sementara di era internet of things IoT ini pembuatan tanda air semakin modern seperti menggunakan logo atau teks. Jika kamu sering melihat video Youtube, apalagi Youtuber ternama pasti kamu sering mendapatkan logo atau nama mereka di pojok videonya. Jika kamu pernah mengunduh sebuah dokumen seperti jurnal dari situs online, beberapa di antaranya juga memiliki watermark. Watermark ini bersinggungan juga dengan copyright. Sederhananya, copyright akan ditandai dengan sebuah watermark pada karya atau konten. Baca Juga Kamu Wajib Paham! Inilah Bedanya Copyright, Trademark, dan Patent Di bawah ini terdapat beberapa fungsi watermark yang perlu kamu ketahui 1. Melindungi konten dari plagiasi Konten berupa gambar sangat mudah diplagiasi oleh orang lain. Di internet sendiri, kamu hanya perlu klik kanan gambar lalu simpan, maka kamu sudah bisa mendapatkan fotonya. Apalagi jika kamu menjual foto tersebut pada situs jual foto online. Watermark adalah solusi agar orang lain tidak dapat menggunakannya sembarangan tanpa persetujuan kamu. 2. Menambah keterangan konten Sebuah gambar yang tidak ada deskripsinya dapat mengandung seribu makna. Oleh karena itu tidak ada salahnya untuk menambahkan beberapa kalimat pada gambar tersebut. Contohnya kamu sedang pergi berlibur dan mengambil gambar. Foto tersebut bisa kamu beri tanggal, tempat, maupun cerita singkat yang menggambarkan foto itu. 3. Menandai seseorang Selanjutnya adalah untuk menandai seseorang yang ikut pada konten tersebut. Ketika kamu upload gambar di internet, misalnya di Instagram dan Facebook tentu terdapat fitur tag atau menandai. Namun, biasanya ada orang-orang yang memang tidak ingin profil mereka tersebar. Maka dari itu memanfaatkan watermark, dengan cara memberi nama pada foto tersebut yang menunjukkan identitasnya orangnya. 4. Memberi informasi detail foto Ketika kamu mengambil foto entah menggunakan kamera digital ataupun ponsel, tentu memiliki banyak informasi teknis penting yang biasa disebut EXIF. Misalnya seperti aperture, shutter speed, merek kamera dan yang lain. Informasi ini dapat berguna untuk orang yang sedang belajar fotografi. Sehingga mereka dapat mengikuti pengaturan kamera tersebut, sehingga hasil fotonya lebih bagus. Data EXIF itulah yang bisa kamu buat menjadi watermark. Baca Juga Belajar Fotografi dengan Memahami Istilah-istilah Teknis Fotografi 5. Membuat meme dan komik Kamu pasti pernah melihat meme yang berisi gambar dengan kutipan lucu, kan? Kutipan itu bisa kamu jadikan sebagai watermark pada foto. Cukup menggunakan gambar yang dibutuhkan, lalu edit dengan menambahkan teks, setelah itu share di media sosial kamu. Bukan hanya menambahkan logo atau beberapa teks saja. Lebih dari itu, pada foto kamu dapat memasukan sebuah puisi atau kutipan. Bisa juga disertai dengan tanggal dibuat serta sumber fotonya. Jenis-Jenis Watermark Adapun jenis watermark dapat dibagi menjadi dua, yaitu Visible Watermark Visible watermark adalah watermark yang dapat dilihat secara jelas. Visible watermark ini dapat berupa Logo Keberadaan logo perusahaan akan menjadi sebuah identitas tersendiri branding agar bisa lebih mudah dikenali khalayak umum. Tulisan Watermark jenis ini biasanya berupa font yang mencantumkan informasi pemilik karya seperti username akun media sosial, nama toko, nama website, dan lain sebagainya. Ikon Watermark ini biasanya disertakan dalam video YouTube. Selain untuk mencegah pencurian konten, visible watermark juga bisa untuk mengenalkan brand perusahaan kepada audiens. Contoh visible watermark yaitu pada gambar milik Dewaweb dan dokumen berikut ini Digital Watermark Digital watermark adalah watermark yang tidak dapat dilihat hanya dengan indra penglihatan saja. Lebih modern lagi, sebagai gantinya watermark disisipkan dalam data gambar atau karya tersebut untuk tanda kepemilikan. Oleh karena itu, watermark jenis ini banyak digunakan pada lembaga perbankan atau berita untuk mengidentifikasi sumber serta mengautentikasi medianya. Kelebihan dan Kekurangan Watermark Walaupun fungsinya sangat penting, watermark tetap memiliki kekurangan. Berikut adalah kelebihan dan kekurangan penggunaan watermark Kelebihan Kelebihan utama watermark adalah mampu menghindari adanya pencurian karya. Orang lain akan berpikir dua kali untuk menggunakan apalagi mengklaim karyamu. Jadi, hasil karyamu lebih dihargai oleh publik. Mampu membangun branding. Saat karyamu dengan watermark dilihat orang lain maka mereka bisa langsung mencari tahu tentang kamu atau perusahaanmu. Kekurangan Memerlukan waktu lebih untuk memasukkan watermark ke karya. Watermark tidak sepenuhnya menjamin karya bebas dari pencurian. Hal ini karena watermark masih bisa dihapus atau di-crop. Kamu tentunya tidak mau karyamu dicuri, kan? Tenang, di artikel ini Dewaweb juga memberikan tips membuat watermark agar tidak mudah dihapus. Simak terus, ya! Cara Membuat Watermark dengan Canva Ada banyak tools dan aplikasi yang bisa digunakan untuk membuat watermark seperti Photoshop, Adobe Illustrator, Microsoft Word, Canva, dan lain-lain. Pada artikel ini Dewaweb menggunakan Canva untuk membuat watermark karena jauh lebih mudah dilakukan. Yuk simak langkah-langkahnya! Buka situs Canva. Di sini pengaturan bahasa menggunakan Bahasa Indonesia. Langsung klik pada Buat Desain > Ukuran Khusus kemudian pilih ukuran yang diinginkan. Contohnya ukuran banner. Setelah itu kamu bisa mulai membuat logo untuk watermark-nya. Jika sudah, klik ikon titik tiga > transparansi > atur transparansi. Apabila logo sudah terbuat, pilih Bagikan > Unduh > Latar belakang transparan jika akun premium. Kemudian klik Unduh. Setelah terunduh, selanjutnya masukkan foto yang ingin diberikan watermark. Tambahkan watermark pada pojok kiri atau kanan foto, seperti gambar berikut. Selesai! Kamu sudah berhasil membuat watermark pada karyamu. Sangat mudah, kan? Jika kamu ingin membuat watermark di Microsoft Word, kamu bisa cari tahu caranya pada artikel Cara Membuat Watermark di Word dengan Mudah. Tips Membuat Watermark Nah, meskipun menggunakan watermark, pastikan agar karya utama tidak terganggu dan tetap enak dilihat. Berikut ini Dewaweb berikan beberapa tips dalam membuat watermark Pastikan ukuran watermark proporsional. Biasanya ukuran watermark tidak lebih dari 1/16 ukuran karya. Jangan meletakkan watermark pada latar belakang yang rata mulus karena memungkinkan untuk dihapus atau di-crop. Hindari peletakan watermark yang berada terlalu ujung karena juga memungkinkan untuk di-crop. Gunakan warna semi transparan agar tidak merusak estetika karya. Cantumkan informasi pribadi misalnya “© 2018 Nama Kamu”. Tips tersebut penting mengingat karyamu masih bisa dicuri oleh orang lain, misalnya dengan cara menghapus background karyamu dan menumpuknya dengan watermark lain. Baca Juga 10+ Cara Hapus Background Foto Online, Mudah & Gratis Yuk Lindungi Kontenmu dengan Watermark! Sekarang kamu sudah tahu apa itu watermark. Watermark adalah logo, teks, atau gambar yang dibubuhkan pada sebuah karya atau konten. Fungsi watermark yaitu untuk menghindari adanya plagiasi sehingga tidak ada orang yang bisa mengklaim karyamu sembarangan, apalagi untuk tujuan komersial. Baca Juga 11 Website Terbaik untuk Cek Plagiasi Konten dan Artikel Tenang, pembuatan watermark tidak ribet, kok! Kamu bisa membuatnya dengan Canva secara gratis dan mudah! Langkah-langkahnya juga sudah dijelaskan secara rinci di atas. Yuk, mulai sekarang lindungilah kontenmu dengan menggunakan watermark! Demikian artikel ini, semoga bermanfaat, ya! Kamu juga bisa membaca kumpulan artikel informatif lainnya di blog Dewaweb. Jika tertarik, kamu juga dapat mengikuti program afiliasi dari Dewaweb ataupun webinar gratis dari Dewatalks yang pastinya bermanfaat untuk menambah wawasanmu seputar dunia digital dan pengembangan website. Salam sukses online! I have seen in many Android mobile phones specially Chinese brands, whenever you take a photo using the built-in stock Camera app, a “Shot on” watermark is automatically added to the bottom-left corner of the image. The watermark shows mobile phone company name and sometimes the model name as well. Many smartphone manufacturer companies apply this automatic watermark on all photos to promote their brand name and mobile phone model. In most of these mobile phones, the watermark option is enabled by default and the phone automatically puts watermark on all photos taken by the user. In some mobile phones, the watermark also shows user information such as name if set by the user. Personally I don’t like these watermarks on photos. I want a perfect shot not cluttered by watermark and phone information. Many times readers ask me how to get rid of this annoying watermark on photos shot on their mobile phones. Thankfully there is a way to disable or remove the watermark on photos in Google Android mobile phones. The Camera app allows users to show or hide watermark on photos and users can turn on or off watermark feature according to their requirements. If you are also using a smartphone and you want to disable watermark on photos taken by Camera app, this tutorial will help you. Also if your phone supports watermark feature but doesn’t add watermark automatically on photos, this tutorial will help you in adding watermarks on all photos. This tutorial will apply to all Android mobile phones which support watermark feature such as OnePlus, Xiaomi Redmi Poco, Gionee, Vivo, Oppo Realme, etc. It’ll also work on 3rd party Camera apps downloaded from Google Play Store which also support watermark feature. Check out following steps to add or remove watermarks on Camera photos in your Android mobile phones 1. First of all open Camera app in your mobile phone. 2. Now open Settings or Options in your Camera app. In some mobile phones, the Settings or Options icon Cog wheel icon is present at the top-right corner in Camera app. In some mobile phones, you need to swipe from left or bottom to access Camera Settings or Options icon. 3. Once you open Settings or Options page in Camera app, look for Watermark option. Generally its labelled as “Shot on watermark”, “Photo watermark”, “Camera watermark”, “Dual camera watermark”, etc. To disable or remove watermark on photos, set the toggle button given for watermark option to OFF. To add and show watermark on photos, set the toggle button given for watermark option to ON. That’s it. Now your mobile phone will always show or hide watermark on all photos shot by the Camera app based on the option value set by the user. Also Check [Fix] Brightness Increases to Maximum When Opening Camera App in Android Mobile Phone You are here Home » Mobiles and Internet » [Tip] Disable or Remove Watermarks on Camera Photos in Android Mobile Phones I'm using Xamarin camera2basic. When I taking photos on some picture write a text device watermark "SHOT ON MI A2" and some picture without that. I want to take photo without watermark. How can I disable watermark. On my device camera setting I disabled watermark but in my App it's enable for some picture. here is 2 pictures by my App xamarinandroid-camera2 asked Mar 18, 2021 at 740 2 I said On my device camera setting I disabled watermark but in my App it's enable for some picture. I disabled both of "Time Watermark" and "Dual Camera Watermark" . but in my app write "Dual Camera Watermark" on some photo. Mar 18, 2021 at 2037 Load 7 more related questions Show fewer related questions

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