Overview

Digital image business applications are expanding rapidly, driven by advances in the technology and breakthroughs in the price and performance of hardware and firmware. This ever increasing need for the storage and transmission of images has in turn driven the technology of image compression: image data rate reduction to save storage space and reduce transmission rate requirements. Digital image compression offers a solution to a variety of imaging applications that require a vast amount of data to represent the images, such as document imaging management systems, facsimile transmission, image archiving, remote sensing, medical imaging, entertainment, HDTV, broadcasting, education and video teleconferencing. This work introduces the reader to compression algorithms, including the CCITT facsimile standards T.4 and T.6, JBIG, CCITT H.261 and MPEG standards. The book provides explanations of the principles and concepts of the algorithms, helping the readers' understanding and allowing them to use the standards in business, product development and R&D. It should be a useful reference for the graduate student, researcher and engineer.

Full Product Details

Author:   Weidong Kou
Publisher:   Springer
Imprint:   Springer
Edition:   1995 ed.
Volume:   333
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.30cm
Weight:   0.534kg
ISBN:  

9780792396260

ISBN 10:   079239626
Pages:   192
Publication Date:   30 September 1995
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Undergraduate ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

1. Principles of Digital Image Compression.- 1.1 Digital Images and Applications.- 1.2 Principles of Digital Image Compression.- 1.3 Performance Measurement of Digital Image Compression.- 1.4 Characteristics of Digital Image Compression.- 1.5 Digital Image Compression Standards.- 2. Compression Algorithm Fundamentals.- 2.1 Sampling and Quantization.- 2.2 Run-Length Coding.- 2.3 Shannon-Fano Coding.- 2.4 Huffman Coding.- 2.5 Predictive Coding.- 2.6 Ziv-Lempel Coding.- 2.7 Arithmetic Coding.- 2.8 Transform Coding.- 2.9 Vector Quantization.- 2.10 Subband Coding.- 3. CCITT Facsimile Compression Standards.- 3.1 CCITT T.4 1-Dimensional Compression Standard.- 3.2 CCITT T.4 2-Dimensional Compression Standard.- 3.3 CCITT T.6 2-Dimensional Compression Standard.- 4. JBIG Compression Standard.- 4.1 Stripes and Data Ordering.- 4.2 Resolution Reduction.- 4.3 Templates and Adaptation.- 4.4 JBIG Sequential Coding.- 4.5 JBIG Progressive Coding.- 5. JPEG Compression Standard.- 5.1 JPEG Image Definition.- 5.2 JPEG Baseline Algorithm.- 5.3 JPEG Sequential DCT-Based Coding.- 5.4 JPEG Progressive DCT-Based Coding.- 5.5 JPEG Lossless Coding.- 5.6 JPEG Hierarchical Coding.- 5.7 JPEG Extensions.- 6. Digital Video Compression Standards.- 6.1 CCITT H.261 Standard.- 6.2 MPEG Standards.- 7. Digital Image Compression Advanced Topics.- 7.1 Segmentation Based Coding.- 7.2 Directional Filtering Based Coding.- 7.3 Recognition Based Coding.- 7.4 Fractal Coding.- 7.5 Wavelet Coding.- Appendix A. Mathmatical Descriptions.- Appendix B. Fast DCT Algorithms.- Information of ISO/IEC Standards.- Information of ITU Standards.

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