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 techniques 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 reconstructed image quality. For each algorithm, issues such as quality vs. bit rate, implementation complexity, and susceptibility to channel errors are considered.

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Information

Publisher

Society of Photo-Optical Instrumentation Engineers

Year

1991

ISBN

9780819478528

Topic

Computer Science

Subtopic

Digital Media

Index

Computer Science

Table of Contents
Preface
Acknowledgments
Part I Background
1 Digital Images and Image Compression
Part II Information Theory Concepts
2 Source Models and Entropy
3 Variable-Length Codes
4 Entropy Estimation and Lossless Compression
5 Rate-Distortion Theory and Lossy Compression
Part III Lossless Compression Techniques
6 Bit Plane Encoding
7 Lossless Predictive Coding
8 Lossy Plus Lossless Residual Encoding
Part IV Lossy Compression Techniques
9 Lossy Predictive Coding
10 Transform Coding
11 Block Truncation Coding
12 Vector Quantization
13 Subband Coding
14 Hierarchical Coding
15 Choosing a Lossy Compression Technique
Appendix A Compression of Color Images
About the Authors