Wavelet Image Coding and Dedicated VLSI Design

Author: Liu Wenyao (Compiler)
Publisher:
Publish Date: 2006-06-01
Features: This book aims to study the theory, new technologies, and dedicated VLSI design of image compression coding based on wavelet transform. The book is divided into 3 parts and 14 chapters. Chapter 1 covers the classification of image compression coding techniques and international standards for image compression coding. Chapter 2 introduces the fundamental theory of wavelets in image compression coding. Chapters 3 to 9 present new algorithms for wavelet-based image compression coding, including typical mainstream algorithms, encoding improvement algorithms combined with mathematical morphology, ROI coding for still images, motion vector search based on genetic algorithms, adaptive cross-quasi-diamond motion estimation algorithms, ROI tracking algorithms based on Hausdorff distance, and ROI coding for color sequence images. Chapters 10 to 14 focus on VLSI implementation algorithms for wavelet-based image compression coding, including hardware implementation algorithms for still image coding, VLSI structures for 2D lifting wavelet transform, VLSI implementation of zero-tree coding, variable-size block motion estimation for sequence images and its VLSI structures, and image experimental hardware systems based on FPGA and DSP. This book is suitable for reference by a broad range of science and technology workers engaged in information science and computer-related technologies in fields such as remote sensing, biomedicine, astronomy, communication, meteorology, automatic control, and national defense, as well as faculty and students of universities and colleges. It can also serve as a textbook and teaching reference for senior undergraduate and graduate courses.