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This book discusses efficient prediction techniques for the current state-of-the-art High Efficiency Video Coding (HEVC) standard, focusing;
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techniques incur some loss of information which is usually imperceptible. In return for accepting this distortion, we obtain much higher compression;
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or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and;
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or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and;
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JPEG2000 Standard for Image Compression presents readers with the basic background to this multimedia compression technique and prepares;
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standards and emerging techniques for image and video compression, such as those based on wavelets and vector quantization. Image and Video;
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This book introduces advanced and hybrid compression techniques specifically used for medical images. The book discusses conventional;
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Medical image compression addresses the issues of larger storage and faster transmission requirements. Contextual compression of Ultrasound;
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efficient techniques for the storage and transmission of data among individuals. Color image compression using wavelet analysis is an emerging area;
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This book describes the principles of image and video compression techniques and introduces current and popular compression standards, such;
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practices for image compression, image de-noising methods based on partial differential equations (PDEs), and new image compression methods, such as;
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presentation teaches that, besides producing efficient compression, these coding systems, except for the FBI Standard, are capable of writing bit;
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editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient;
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compression. It illustrates the development of algorithms for processing images and videos in the compressed domain. Developing concepts from first;
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compression. It illustrates the development of algorithms for processing images and videos in the compressed domain. Developing concepts from first;
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still-limited hardware capabilities. Image and Video Compression for Multimedia Engineering bridges the gap with concise, authoritative;
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advances the theory of image processing, pattern recognition and generation as well as the design of efficient algorithms and hardware for parallel;
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so that applications such as MPEG-4 and JPEG 2000 may come to fruition. Image and Video Compression for Multimedia Engineering provides a;
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energy used for computation and energy used for transmission. Computation energy can be reduced by minimizing the time spent on compression and;
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for IT professionals, computer engineers, researchers, academicians, and upper-level students seeking coverage on how to develop efficient;
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A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology With the;
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-programmable gate arrays (FPGAs) offer cost-effective, flexible platforms for implementing WMSNs, with a main focus on developing efficient algorithms;
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rate of progress of this advancing technology as well as its multi-faceted nature has created a vast amount of potential research material for;
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rate of progress of this advancing technology as well as its multi-faceted nature has created a vast amount of potential research material for;
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digital image or a video frame from a video source. Vector quantization is simple image compression technique. It is efficient for image coding;
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ingenious heuristics. The first part includes algorithms, for example, red-eye correction and compression artefacts reduction, that can be applied;
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compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science;
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