Author: Niall FallonPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Image and Video Compression Using Advanced Vector Quantization Techniques
Image and Video Compression
Author: Madhuri A. JoshiPublisher: CRC Press
ISBN: 148222822X
Category : Computers
Languages : en
Pages : 242
Book Description
Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and transmission of data. Image and Video Compression: Fundamentals, Techniques, and Applications explains the major techniques for image and video compression and demonstrates their practical implementation using MATLAB® programs. Designed for students, researchers, and practicing engineers, the book presents both basic principles and real practical applications. In an accessible way, the book covers basic schemes for image and video compression, including lossless techniques and wavelet- and vector quantization-based image compression and digital video compression. The MATLAB programs enable readers to gain hands-on experience with the techniques. The authors provide quality metrics used to evaluate the performance of the compression algorithms. They also introduce the modern technique of compressed sensing, which retains the most important part of the signal while it is being sensed.
Vector Quantization and Signal Compression
Author: Allen GershoPublisher: Springer Science & Business Media
ISBN: 0792391810
Category : Technology & Engineering
Languages : en
Pages : 762
Book Description
Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity.
Image and Video Compression Standards
Author: Vasudev BhaskaranPublisher: Springer Science & Business Media
ISBN: 147572358X
Category : Computers
Languages : en
Pages : 373
Book Description
Image and Video Compression Standards: Algorithms and Architectures presents an introduction to the algorithms and architectures that underpin the image and video compression standards, including JPEG (compression of still images), H.261 (video teleconferencing), MPEG-1 and MPEG-2 (video storage and broadcasting). In addition, the book covers the MPEG and Dolby AC-3 audio encoding standards, as well as emerging techniques for image and video compression, such as those based on wavelets and vector quantization. The book emphasizes the foundations of these standards, i.e. techniques such as predictive coding, transform-based coding, motion compensation, and entropy coding, as well as how they are applied in the standards. How each standard is implemented is not dealt with, but the book does provide all the material necessary to understand the workings of each of the compression standards, including information that can be used to evaluate the efficiency of various software and hardware implementations conforming to the standards. Particular emphasis is placed on those algorithms and architectures that have been found to be useful in practical software or hardware implementations. Audience: A valuable reference for the graduate student, researcher or engineer. May also be used as a text for a course on the subject.
Adaptive Image and Video Compression Using Vector Quantization and Self-organizing Neural Networks
Author: Hui LiuPublisher:
ISBN:
Category : Image compression
Languages : en
Pages : 418
Book Description
Wavelet Image and Video Compression
Author: Pankaj N. TopiwalaPublisher: Springer Science & Business Media
ISBN: 0306470438
Category : Science
Languages : en
Pages : 434
Book Description
An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. This technology has deep roots in theories of vision, and promises performance improvements over all other compression methods, such as those based on Fourier transforms, vectors quantizers, fractals, neural nets, and many others. It is this revolutionary new technology that is presented in Wavelet Image and Video Compression, in a form that is accessible to the largest audience possible. Wavelet Image and Video Compression is divided into four parts. Part I, Background Material, introduces the basic mathematical structures that underly image compression algorithms with the intention of providing an easy introduction to the mathematical concepts that are prerequisites for the remainder of the book. It explains such topics as change of bases, scalar and vector quantization, bit allocation and rate-distortion theory, entropy coding, the discrete-cosine transform, wavelet filters and other related topics. Part II, Still Image Coding, presents a spectrum of wavelet still image coding techniques. Part III, Special Topics in Still Image Coding, provides a variety of example coding schemes with a special flavor in either approach or application domain. Part IV, Video Coding, examines wavelet and pyramidal coding techniques for video data. Wavelet Image and Video Compression serves as an excellent reference and may be used as a text for advanced courses covering the subject.
Image Compression Techniques Using Vector Quantization
Author: Colin Scott RamsayPublisher:
ISBN:
Category : Image compression
Languages : en
Pages :
Book Description
Image and Video Compression for Multimedia Engineering
Author: Yun-Qing ShiPublisher: CRC Press
ISBN: 1351837702
Category : Technology & Engineering
Languages : en
Pages : 973
Book Description
Multimedia hardware still cannot accommodate the demand for large amounts of visual data. Without the generation of high-quality video bitstreams, limited hardware capabilities will continue to stifle the advancement of multimedia technologies. Thorough grounding in coding is needed so that applications such as MPEG-4 and JPEG 2000 may come to fruition. Image and Video Compression for Multimedia Engineering provides a solid, comprehensive understanding of the fundamentals and algorithms that lead to the creation of new methods for generating high quality video bit streams. The authors present a number of relevant advances along with international standards. New to the Second Edition · A chapter describing the recently developed video coding standard, MPEG-Part 10 Advances Video Coding also known as H.264 · Fundamental concepts and algorithms of JPEG2000 · Color systems of digital video · Up-to-date video coding standards and profiles Visual data, image, and video coding will continue to enable the creation of advanced hardware, suitable to the demands of new applications. Covering both image and video compression, this book yields a unique, self-contained reference for practitioners tobuild a basis for future study, research, and development.
Computational*RAM Implementations of Vector Quantization for Image and Video Compression
Author: Thinh Minh LePublisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
In this thesis, Computational$\sp*$RAM (C$\sp*$RAM) implementations of Vector Quantization for image and video compression is proposed. Vector Quantization (VQ) is a powerful technique for low bit rate image and video compression. The coding performance can be further improved by employing the adaptive techniques at the expense of significant increase in computational complexity. Recently, a number of VLSI architectures for implementing VQ have been reported in the literature. These architectures are not programmable and rather complex. We proposed the mapping of VQ-based image and video compression algorithms on the C$\sp*$RAM architecture. C$\sp*$RAM is a SIMD-memory hybrid where the processing elements are attached to memory columns of a conventional RAM to take advantage of the on-chip high memory bandwidth for parallel computation. Implementation of VQ based on the mean absolute error measure using the C$\sp*$RAM's parallel structure is first presented. This follows with the details of the proposed Modified Scalable VQ algorithm. C$\sp*$RAM implementation of Modified SVQ is a mapping of binary tree onto parallel structure which results in scalable bit stream. We then propose a novel adaptive codebook replenishment VQ and index-based motion estimation (AVQ + ME) algorithm for video compression. Finally, the C$\sp*$RAM implementation of AVQ + ME is presented. Simulation results demonstrate a good coding performance at a significantly reduced computational complexity.
Author: Eric Kwok-Leong Lo