Fundamental Data Compression

Table of contents

1. Cover image
2. Title page
3. Table of Contents
4. Dedication
5. Copyright
6. List of Figures
7. List of Algorithms
8. Preface
9. Acknowledgements
10. Chapter 1: Introduction
    1. 1.1 Data compression problems
    2. 1.2 Lossless and lossy compression
    3. 1.3 Deriving algorithmic solutions
    4. 1.4 Measure of compression quality
    5. 1.5 Limits on lossless compression
    6. Summary
    7. Learning outcomes
    8. Exercises
    9. Laboratory
    10. Assessment
11. Chapter 2: Coding symbolic data
    1. 2.1 Information, data and codes
    2. 2.2 Symbolic data
    3. 2.3 Variable length codes
12. Chapter 3: Run-length algorithms
    1. 3.1 Run-length
    2. 3.2 Hardware data compression (HDC)
    3. 3.3 Algorithm Design
    4. Summary
    5. Learning outcomes
    6. Exercises
    7. Laboratory
    8. Assessment
13. Chapter 4: Huffman coding
    1. 4.1 Static Huffman coding
    2. 4.2 Shannon-Fano approach
    3. 4.3 Optimal Huffman codes
    4. 4.4 Implementation efficiency
    5. 4.5 Extended Huffman coding
    6. Summary
    7. Learning outcomes
    8. Exercises
    9. Laboratory
    10. Assessment
14. Chapter 5: Adaptive Huffman coding
    1. 5.1 Adaptive approach
    2. 5.2 Compressor
    3. 5.3 Decompressor
    4. 5.4 Disadvantages of Huffman algorithms
    5. Summary
    6. Learning outcomes
    7. Exercises
    8. Laboratory
    9. Assessment
15. Chapter 6: Arithmetic coding
    1. 6.1 Probabilities and subintervals
    2. 6.2 Model and coders
    3. 6.3 Simple case
    4. 6.4 General case
    5. Summary
    6. Learning outcomes
    7. Exercises
    8. Laboratory
    9. Assessment
16. Chapter 7: Dictionary-based compression
    1. 7.1 Patterns in a string
    2. 7.2 LZW coding
    3. 7.3 LZ77 family
    4. 7.4 LZ78 family
    5. 7.5 Applications
    6. 7.6 Comparison
    7. Summary
    8. Learning outcomes
    9. Exercises
    10. Laboratory
    11. Assessment
17. Chapter 8: Prediction and transforms
    1. 8.1 Predictive approach
    2. 8.2 Move to Front coding
    3. 8.3 Burrows-Wheeler Transform (BWT)
    4. 8.4 Transform approach
    5. 8.5 Discrete Cosine Transform (DCT)
    6. 8.6 Subband coding
    7. 8.7 Wavelet transforms
    8. Summary
    9. Learning outcomes
    10. Exercises
    11. Laboratory
    12. Assessment
18. Chapter 9: Audio compression
    1. 9.1 Modelling sound
    2. 9.2 Sampling
    3. 9.3 Quantisation
    4. 9.3.1 Scalar quantisation
    5. 9.4 Compression performance
    6. 9.5 Speech compression
    7. 9.6 Music compression
    8. Summary
    9. Learning outcomes
    10. Exercises
    11. Assessment
19. Chapter 10: Image compression
    1. 10.1 Image data
    2. 10.2 Bitmap images
    3. 10.3 Vector graphics
    4. 10.4 Bitmap and vector graphics
    5. Rasterising
    6. Vectorisation
    7. 10.5 Colour
    8. 10.6 Classifying images by colour
    9. 10.7 Classifying images by appearance
    10. 10.8 Image compression
    11. Summary
    12. Learning outcomes
    13. Exercises
    14. Laboratory
    15. Assessment
20. Chapter 11: Video compression
    1. 11.1 Analogue video
    2. 11.2 Digital video
    3. 11.3 Moving pictures
    4. 11.4 MPEG
    5. 11.5 Basic principles
    6. 11.6 Temporal compression algorithms
    7. 11.7 Group of pictures
    8. 11.8 Motion estimation
    9. 11.9 Work in different video formats
    10. Summary
    11. Learning outcomes
    12. Exercises
    13. Assessment
21. Appendix A: Brief history
22. Appendix B: Matrices
23. Appendix C: Fourier series and harmonic analysis
24. Appendix D: Pseudocode notation
25. Appendix E: Notation
26. Index