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Introduction to Data Compression, Fourth Edition
TLDR
This edition of Introduction to Data Compression provides an extensive introduction to the theory underlying todays compression techniques with detailed instruction for their applications using several examples to explain the concepts.Abstract:
Each edition of Introduction to Data Compression has widely been considered the best introduction and reference text on the art and science of data compression, and thefourth edition continues in this tradition Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio, and video The fourth edition includes all the cutting edge updates the reader will need during the work day and in class Khalid Sayood provides an extensive introduction to the theory underlying todays compression techniques with detailed instruction for their applications using several examples to explain the concepts Encompassing the entire field of data compression, Introduction to Data Compression includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, scalar and vector quantization Khalid Sayood provides a working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package upon completion of his book New content added to include a more detailed description of the JPEG 2000 standard New content includes speech coding for internet applications Explains established and emerging standards in depth including JPEG 2000, JPEG-LS, MPEG-2, H264, JBIG 2, ADPCM, LPC, CELP, MELP, and iLBC Source code provided via companion web site that gives readers the opportunity to build their own algorithms, choose and implement techniques in their own applicationsread more
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Journal ArticleDOI
A survey of numerical linear algebra methods utilizing mixed-precision arithmetic:
Ahmad Abdelfattah,Hartwig Anzt,Hartwig Anzt,Erik G. Boman,Erin Carson,Terry Cojean,Jack Dongarra,Jack Dongarra,Jack Dongarra,Alyson Fox,Mark Gates,Nicholas J. Higham,Xiaoye S. Li,Jennifer A. Loe,Piotr Luszczek,Srikara Pranesh,Siva Rajamanickam,Tobias Ribizel,Barry Smith,Kasia Swirydowicz,Stephen Thomas,Stanimire Tomov,Yaohung M. Tsai,Ulrike Meier Yang +23 more
TL;DR: This work provides a comprehensive survey of mixed-precision numerical linear algebra routines, including the underlying concepts, theoretical background, and experimental results for both dense and sparse linear algebra problems.
Journal ArticleDOI
High capacity, transparent and secure audio steganography model based on fractal coding and chaotic map in temporal domain
TL;DR: The HASFC model outperforms related studies by improving the hiding capacity up to 30% and maintaining the transparency of stego audio with average values of SNR at 70.4, PRD at 0.0002 and SDG at 4.7.
Proceedings ArticleDOI
Covert Timing Channels Exploiting Non-Uniform Memory Access based Architectures
TL;DR: A new type of covert timing channel that exploits the access timing difference between various caches in Non-Uniform Memory Access (NUMA)-based architectures, especially multi-socket CPUs is presented.
Journal ArticleDOI
How the smartphone is driving the eye-health imaging revolution
TL;DR: The latest progress in creating ophthalmic imaging devices based around smartphones is reviewed, which if successfully developed to be inexpensive and to offer high-quality imaging capabilities will have huge potential for disease detection and reduction of preventable blindness across the globe.
Proceedings ArticleDOI
Fast LZW Compression Using a GPU
TL;DR: The goal is to implement LZW compression algorithm using several acceleration techniques using CUDA, although it is a very hard task, and results show that it makes sense to compress images using a GPU to archive them in the SSD.