1. John Hamann Vickey Yeh Compression of Stereo Images

2. Outline Basic Algorithm Color Compression Motion Compensation Conclusion

3. Basic Algorithm Discrete Cosine Transform Uniform Quantization No Quantization Tables Directly Store the DC Coefficients Huffman Code the AC Coefficients No Run-Length Encoding Zip the Final Binary Stream

4. Results

5. Color Compression Algorithm A Mode 0: Encode Cr, Cb Mode 1: Encode Cr, Cb + Cr Mode 2: Encode Cr, Cb – Cr Algorithm A Variant Mode 0: Encode Cb, Cr Mode 1: Encode Cb, Cr + Cb Mode 2: Encode Cb, Cr – Cb Performs Markedly Worse

6. Algorithm A

8. About 1% Improvement

9. Algorithm B Estimate Cb, Cr based on Y Cb = a cb Y + b cb Cr = a cr Y + b cr For each block Intra-mode Code a cb, a cr, b cb, b cb For small blocks, Too expensive For large blocks, Too much MSE

10. Motion Compensation Search for Nearest Match Make Decision Based on Lowest MSE Give Bonus to Certain Intervals to Cause Clustering of Motion Vectors Encode the Residuals Using DCT as Before

11. Results

12. Conclusion Huffman Coding then Zip outperforms Run-Length Encoding then Huffman Coding Color Compression Using Algorithm A 3 Modes of Operation {Cb, Cb+Cr, Cb-Cr} Provides slight gains Limited by nature of Cb and Cr Motion Compensation Did not prove beneficial

13. Questions