Recursive Block Coding for Image Data Compression

Recursive Block Coding for Image Data Compression
Author: Paul M. Farrelle
Publisher: Springer Science & Business Media
Total Pages: 321
Release: 2012-12-06
Genre: Computers
ISBN: 146139676X

Recursive Block Coding, a new image data compression technique that has its roots in noncausal models for 1d and 2d signals, is the subject of this book. The underlying theory provides a multitude of compression algorithms that encompass two course coding, quad tree coding, hybrid coding and so on. Since the noncausal models provide a fundamentally different image representation, they lead to new approaches to many existing algorithms, including useful approaches for asymmetric, progressive, and adaptive coding techniques. On the theoretical front, the basic result shows that a random field (an ensemble of images) can be coded block by block such that the interblock redundancy can be completely removed while the individual blocks are transform coded. On the practical side, the artifact of tiling, a block boundary effect, present in conventional block by block transform coding techniques has been greatly suppressed. This book contains not only a theoretical discussion of the algorithms but also exhaustive simulation and suggested methodologies for ensemble design techniques. Each of the resulting algorithms has been applied to twelve images over a wide range of image data rates and the results are reported using subjective descriptions, photographs, mathematical MSE values, and h-plots, a recently proposed graphical representation showing a high level of agreement with image quality as judged subjectively.

Data Compression

Data Compression
Author: David Salomon
Publisher: Springer Science & Business Media
Total Pages: 440
Release: 2013-03-09
Genre: Computers
ISBN: 1475729391

From archiving data to CD-ROMs, and from coding theory to image analysis, many facets of computing make use of data compression in one form or another. This is an overview of the many different types of compression, including a taxonomy, an analysis of the most common systems of compression, discussion of their relative benefits and disadvantages, and their most common uses. Readers are presupposed to have a basic understanding of computer science -- essentially the storage of data in bytes and bits and computing terminology -- but otherwise this book is self-contained. It divides neatly into four main parts based on the main branches of data compression: run length encoding, statistical methods, dictionary-based methods, and lossy image compression. All of the most well-known compression techniques are covered including Zip, BinHex, Huffman coding, and GIF.

Digital Image Processing Techniques

Digital Image Processing Techniques
Author: Michael P. Ekstrom
Publisher: Academic Press
Total Pages: 389
Release: 2012-12-02
Genre: Technology & Engineering
ISBN: 0323140165

Digital Image Processing Techniques is a state-of-the-art review of digital image processing techniques, with emphasis on the processing approaches and their associated algorithms. A canonical set of image processing problems that represent the class of functions typically required in most image processing applications is presented. Each chapter broadly addresses the problem being considered; the best techniques for this particular problem and how they work; their strengths and limitations; and how the techniques are actually implemented as well as their computational aspects. Comprised of eight chapters, this volume begins with a discussion on processing techniques associated with the following tasks: image enhancement, restoration, detection and estimation, reconstruction, and analysis, along with image data compression and image spectral estimation. The second section describes hardware and software systems for digital image processing. Aspects of commercially available systems that combine both processing and display functions are considered, as are future prospects for their technological and architectural evolution. The specifics of system design trade-offs are explicitly presented in detail. This book will be of interest to students, practitioners, and researchers in various disciplines including digital signal processing, computer science, statistical communications theory, control systems, and applied physics.

The Froehlich/Kent Encyclopedia of Telecommunications

The Froehlich/Kent Encyclopedia of Telecommunications
Author: Fritz E. Froehlich
Publisher: CRC Press
Total Pages: 522
Release: 1992-09-25
Genre: Technology & Engineering
ISBN: 9780824729035

"The only continuing source that helps users analyze, plan, design, evaluate, and manage integrated telecommunications networks, systems, and services, The Froehlich/Kent Encyclopedia of Telecommunications presents both basic and technologically advanced knowledge in the field. An ideal reference source for both newcomers as well as seasoned specialists, the Encyclopedia covers seven key areas--Terminals and Interfaces; Transmission; Switching, Routing, and Flow Control; Networks and Network Control; Communications Software and Protocols; Network and system Management; and Components and Processes."

Introduction to Data Compression

Introduction to Data Compression
Author: Khalid Sayood
Publisher: Newnes
Total Pages: 766
Release: 2012-10-16
Genre: Computers
ISBN: 0124157963

Mathematical preliminaries for lossless compression -- Huffman coding -- Arithmetic coding -- Dictionary techniques -- Context-based compression -- Lossless image compression -- Mathematical preliminaries for lossy coding -- Scalar quantization -- Vector quantization -- Differential encoding -- Mathematical preliminaries for transforms, subbands, and wavelets -- Transform coding -- Subband coding -- Wavelets -- Wavelet-based image compression -- Audio coding -- Analysis/synthesis and analysis by synthesis schemes -- Video compression -- Probability and random processes -- A brief review of matrix concepts --The root lattices.

High Performance Computing

High Performance Computing
Author: Alex Veidenbaum
Publisher: Springer Science & Business Media
Total Pages: 579
Release: 2003-10-09
Genre: Computers
ISBN: 3540203591

This book constitutes the refereed proceedings of the 5th International Symposium on High-Performance Computing, ISHPC 2003, held in Tokyo-Odaiba, Japan in October 2003. The 23 revised full papers and 16 short papers presented together with 4 invited papers and 7 refereed papers accepted for a concurrently held workshop on OpenMP (WOMPEI 2003) were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on architecture, software, applications, and ITBL.

Selected Topics On Stochastic Modelling

Selected Topics On Stochastic Modelling
Author: Mariano J Valderrama Bonnet
Publisher: World Scientific
Total Pages: 326
Release: 1994-09-30
Genre:
ISBN: 9814550701

This volume contains a selection of papers on recent developments in fields such as stochastic processes, multivariate data analysis and stochastic models in operations research, earth and life sciences and information theory, from an applicative perspective. Some of them have been extracted from lectures given at the Department of Statistics and Operations Research at the University of Granada for the past two years (Kai Lai Chung and Marcel F Neuts, among others). All the papers have been carefully selected and revised.

Algorithms and Architectures for Cryptography and Source Coding in Non-Volatile Flash Memories

Algorithms and Architectures for Cryptography and Source Coding in Non-Volatile Flash Memories
Author: Malek Safieh
Publisher: Springer Nature
Total Pages: 155
Release: 2021-08-09
Genre: Computers
ISBN: 3658344598

In this work, algorithms and architectures for cryptography and source coding are developed, which are suitable for many resource-constrained embedded systems such as non-volatile flash memories. A new concept for elliptic curve cryptography is presented, which uses an arithmetic over Gaussian integers. Gaussian integers are a subset of the complex numbers with integers as real and imaginary parts. Ordinary modular arithmetic over Gaussian integers is computational expensive. To reduce the complexity, a new arithmetic based on the Montgomery reduction is presented. For the elliptic curve point multiplication, this arithmetic over Gaussian integers improves the computational efficiency, the resistance against side channel attacks, and reduces the memory requirements. Furthermore, an efficient variant of the Lempel-Ziv-Welch (LZW) algorithm for universal lossless data compression is investigated. Instead of one LZW dictionary, this algorithm applies several dictionaries to speed up the encoding process. Two dictionary partitioning techniques are introduced that improve the compression rate and reduce the memory size of this parallel dictionary LZW algorithm.