Digital image business applications are expanding rapidly, driven by recent 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…mehr
Digital image business applications are expanding rapidly, driven by recent 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. Digital Image Compression: Algorithms and Standards 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 comprehensive 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. Audience: A valuable reference for the graduate student, researcher and engineer. May also be used as a text for a course on the subject.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
Produktdetails
The Springer International Series in Engineering and Computer Science 333
Dr. Weidong Kou is a Chief Architect and a Senior Manager of IBM Greater China Group, and an Adjunct Professor of the University of Maryland, Baltimore County. He was a Dean of the School of Computer Science at Xidian University, a Director of the Chinese Key Laboratory on Integrated Services Networks (ISN), and an Associate Director of the E-Business Technology Institute at the University of Hong Kong. Dr. Kou is a Laureate of 2004 Friendship Award of China, the most prestige award and the highest honor from Chinese National Government to recognize an international expert. He has over 12 years of industry experience in IBM and Siemens in North America. Dr. Kou was elected as a Member of the New York Academy of Sciences in 1992. He is also a Senior Member of IEEE.
Inhaltsangabe
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.
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.
