Download or read book Subband Image Coding written by John W. Woods and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concerns a new method of image data compression which weil may supplant the well-established block-transfonn methods that have been state-of-the art for the last 15 years. Subband image coding or SBC was first perfonned as such in 1985, and as the results became known at first through conference proceedings, and later through journal papers, the research community became excited about both the theoretical and practical aspects of this new approach. This excitement is continuing today, with many major research laboratories and research universities around the world investigating the subband approach to coding of color images, high resolution images, video- including video conferencing and advanced tele vision, and the medical application of picture archiving systems. Much of the fruits of this work is summarized in the eight chapters of this book which were written by leading practitioners in this field. The subband approach to image coding starts by passing the image through a two- or three-dimensional filter bank. The two-dimensional (2-D) case usually is hierarchical' consisting of two stages of four filters each. Thus the original image is split into 16 subband images, with each one decimated or subsampled by 4x4, resulting in a data conservation. The individual channel data is then quantized ·for digital transmission. In an attractive variation an octave-like approach, herein tenned subband pyramid, is taken for the decomposition resulting in a total of just eleven subbands.

Download or read book Wavelets and Subband Coding written by Jelena Kovacevic and published by Prentice Hall. This book was released on 1995 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: A central goal of signal processing is to describe real-time signals, be it for computation, compression, or understanding. This book presents a unified view of wavelets and subband coding with a signal processing perspective. Covers the discrete-time case, or filter banks; development of wavelets; continuous wavelet and local Fourier transforms; efficient algorithms for filter banks and wavelet computations; and signal compression. *provides broad coverage of theory and applications and a different perspective based on signal processing. *gives framework for applications in speech, audio, image and video compression as used in multimedia. *includes sufficient background material so that people without signal processing knowledge will find it useful.

Download or read book Subband Compression of Images Principles and Examples written by T.A. Ramstad and published by Elsevier. This book was released on 1995-07-18 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sixth in the book series, Advances in Image Communication, which documents the rapid advancements of recent years in image communication technologies, this volume provides a comprehensive exploration of subband coding.Originally, subband coding and transform coding were developed separately. The former, however, benefitted considerably from the earlier evolution of transform coding theory and practice. Retaining their own terminology and views, the two methods are closely related and this book indeed aims to unify the approaches. Specifically, the volume contributes effectively to the understanding of frequency domain coding techniques. Many images from coding experiments are presented, enabling the reader to consider the properties of different coders.Chapter 1 introduces the problem of image compression in general terms. Sampling of images and other fundamental concepts, such as entropy and the rate distortion function, are briefly reviewed. The idea of viewing coding techniques as series expansions is also introduced. The second chapter presents signal decomposition and the conditions for perfect reconstruction from minimum representations. Chapter 3 deals with filter bank structures, primarily those displaying the perfect reconstruction property. Quantization techniques and the efficient exploitation of the bit resources are discussed from a theoretical perspective in Chapter 4 and this issue is further examined in Chapter 6, from a more practical point of view. Chapter 5 provides a development of gain formulas, i.e. quantitative measures of the performance of filter banks in a subband coding context, and these are then employed in a search for optimal filter banks. A number of examples of coded images using different subband coders are presented in Chapter 7, these indicating that subband coders give rise to some characteristic types of image degradations. Accordingly, Chapter 8 presents several techniques for minimizing these artifacts. The theory and practice of subband coding of video, at several target bit rates, is discussed in the last chapter.

Download or read book Subband Image Coding Using Vector Quantization written by Yan Huat Sim and published by . This book was released on 1995 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Subband Image Coding with Vector Quantization written by Jonathan Nelson Bradley and published by . This book was released on 1989 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Subband and Wavelet Still Image Coding for Improved Image Quality written by Matthew Anthony Mow and published by . This book was released on 1994 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Subband and Wavelet Transforms written by Ali N. Akansu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scientists and engineers of today are relentless in their continuing study and analysis of the world about us from the microcosm to the macrocosm. A central purpose of this study is to gain sufficient scientific information and insight to enable the development of both representative and useful models of the superabundance of physical processes that surround us. The engineers need these models and the associated insight in order to build the information processing systems and control systems that comprise these new and emerging technologies. Much of the early modeling work that has been done on these systems has been based on the linear time-invariant system theory and its extensive use of Fourier transform theory for both continuous and discrete systems and signals. However many of the signals arising in nature and real systems are neither stationary nor linear but tend to be concentrated in both time and frequency. Hence a new methodology is needed to take these factors properly into account.

Download or read book Subband Coding of Stereo Images and Image Sequences written by William D. Reynolds and published by . This book was released on 1997 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sub band image coding written by and published by . This book was released on 1902 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Este trabalho aborda o problema da compressão de imagens explorando a técnica de codificação por sub-bandas(SBB).Como estrutura básica, usada na primeira parte do trabalho, tem-se a divisão da imagem em 16 sub-bandas buscando replicar os resultados de woods [1]. As componentes das 16 SBB são quantizadas e codificadas, e bits são alocados às SBB usando como critério a minimização do erro médio quadrático. Os quantizadores são projetados segundo uma distribuição Gaussiana Generalizada. Neste processo de codificação, a sub-banda de mais baixa freqüência é codificada com DPCM, enquanto as demais SBB são codificadas por PCM. Como inovação, é proposto o uso do algoritmo de Lempel-Ziv na codificação sem perdas (compactação) das sub-bandas quantizadas. Na compactação são empregados os algoritmos de Huffman e LZW (modificação do LZA). Os resultados das simulações são apresentados em termos da taxa (bits/pixel) versus relação sinal ruído de pico e em termos de analise subjetiva das imagens reconstruídas. Os resultados obtidos indicam um desempenho de compressão superior quanto o algoritmo de Huffman é usado, comparado com o algoritmo LZW. A melhoria de desempenho, na técnica de decomposição em sub-bandas, observada com o algoritmo de Huffman foi superior (2dB acima). Todavia, tendo em vista as vantagens da universalidade do algoritmo de Lempel-Ziv, deve-se continuar a investigar o seu desempenho implementado de forma diferente do explorado neste trabalho.

Download or read book Low Bit rate Subband Coding of Image and Video Signals Using Vector Quantization written by Choon S. Kim and published by . This book was released on 1992 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Video Image Compression Using Subband Coding and Vector Quantization written by Eric Kwok-Leong Lo and published by . This book was released on 1994 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Vector Quantization in Subband Coding of Images written by Saad John Bedros and published by . This book was released on 1995 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Low complexity Subband Coding for Image Compression written by Don Speck and published by . This book was released on 1994 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Theory of Subband Image Coding written by Shinichi Doi and published by . This book was released on 1991 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multidimensional Signal Image and Video Processing and Coding written by John W. Woods and published by Academic Press. This book was released on 2011-05-31 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidimensional Signal, Image, and Video Processing and Coding gives a concise introduction to both image and video processing, providing a balanced coverage between theory, applications and standards. It gives an introduction to both 2-D and 3-D signal processing theory, supported by an introduction to random processes and some essential results from information theory, providing the necessary foundation for a full understanding of the image and video processing concepts that follow. A significant new feature is the explanation of practical network coding methods for image and video transmission. There is also coverage of new approaches such as: super-resolution methods, non-local processing, and directional transforms. Multidimensional Signal, Image, and Video Processing and Coding also has on-line support that contains many short MATLAB programs that complement examples and exercises on multidimensional signal, image, and video processing. There are numerous short video clips showing applications in video processing and coding, plus a copy of the vidview video player for playing .yuv video files on a Windows PC and an illustration of the effect of packet loss on H.264/AVC coded bitstreams. New to this edition: - New appendices on random processes, information theory - New coverage of image analysis – edge detection, linking, clustering, and segmentation - Expanded coverage on image sensing and perception, including color spaces - Now summarizes the new MPEG coding standards: scalable video coding (SVC) and multiview video coding (MVC), in addition to coverage of H.264/AVC - Updated video processing material including new example on scalable video coding and more material on object- and region-based video coding - More on video coding for networks including practical network coding (PNC), highlighting the significant advantages of PNC for both video downloading and streaming - New coverage of super-resolution methods for image and video - Only R&D level tutorial that gives an integrated treatment of image and video processing - topics that are interconnected - New chapters on introductory random processes, information theory, and image enhancement and analysis - Coverage and discussion of the latest standards in video coding: H.264/AVC and the new scalable video standard (SVC)

Download or read book Subband Transform Coding for Image Compression written by Wael Mouhammad Jamil Bazzi and published by . This book was released on 1999 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image compression has been an active research area for more than 25 years. The purpose of digital image compression is to reduce the amount of data needed to represent a digital image.--Subhand coding is one popular technique, which has been successful!) applied for the purpose of digital image compression. This technique has recently received considerable attention. In subband coding, the input image is divided into a number of separate frequency components, which are encoded separate!).--The following work initialed after observing that most subband coders have been based on using spatial coding techniques in the subbands. Coding the transforms of the subbands is proposed here.--Results, tor typical standard images, show that coding the transforms of the subbands in a subband coder results in a lower reconstruction error as compared to using spatial coding techniques like predictive coding.

Download or read book Digital Image Compression Techniques written by Majid Rabbani and published by SPIE Press. This book was released on 1991 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to utilize digital images effectively, specific techniques are needed to reduce the number of bits required for their representation. This Tutorial Text provides the groundwork for understanding these image compression tecniques and presents a number of different schemes that have proven useful. The algorithms discussed in this book are concerned mainly with the compression of still-frame, continuous-tone, monochrome and color images, but some of the techniques, such as arithmetic coding, have found widespread use in the compression of bilevel images. Both lossless (bit-preserving) and lossy techniques are considered. A detailed description of the compression algorithm proposed as the world standard (the JPEG baseline algorithm) is provided. The book contains approximately 30 pages of reconstructed and error images illustrating the effect of each compression technique on a consistent image set, thus allowing for a direct comparison of bit rates and reconstucted image quality. For each algorithm, issues such as quality vs. bit rate, implementation complexity, and susceptibility to channel errors are considered.