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Theory and Practice of Wavelet compression

Given by Czeslaw Jedrzejek, Tomasz Major at Rome Lab Quarterly Review for CIV on June 28 96. Foils prepared 23 February 97

This covers both basic Theory and NPAC projects with examples
Wavelet compression activity: goals
Compression of still images:
improving quality for fixed bitrate
decreasing encoding time (currently encoding still image takes 2 seconds on SGI Challenge; similar problem exists for DCT like H.263 based systems - currently no real-time encoding exists in software)
parallelizing: decomposition, quantization and arithmetic coding (important in view of emergence of multiprocessor PentiumPro systems)
Compression of video:
we verified that motion estimation in wavelet space does not work
plan: hybrid video method
Web and other functionalities:
progressive still image plug-in (implemented)
in progress - zoom, local window, chroma key
plans: transparency, pre- and post-processing, access key file protection, error recovery

Table of Contents for Theory and Practice of Wavelet compression

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1 Wavelet compression (1) Czeslaw Jedrzejek, Tomasz Major
2 Wavelet compression (2)
3 Wavelet compression (3)
4 Wavelet compression (4): Algorithm
5 Wavelet compression (5)
6 Compression(6): Wavelet decomposition
7 Compression(7): Reorganization of wavelet trees into wavelet blocks
8 Compression (8): Principle of zerotree quantization
9 Compression (9): Choice of filter normalization
10 Compression (10): Statistics of zerotrees in subbands vs pass number for Lenna
11 Compression (11): Motion Estimation in Real Space - Block Matching
12 Compression (12): Multiresolution Motion Estimation (1)
13 Compression (13): Implementation of Multiresolution Motion Estimation (2)
14 Compression (14): Multiresolution Motion Estimation (3)
15 Compression (15): Coding of I-Frame
16 Compression (16): Demonstration of deficiency of motion estimation scheme in wavelet space
17 Compression (17): Compensated frame
18 Compression (18): Wavelet decomposition of frame #1
19 Compression (19): Wavelet decomposition of frame #2
20 Compression (20): Conclusion
21 Compression (21): Hybrid wavelet video encoder
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