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Rate ditorsion optimized tree structures for image compression
Moshiko Elisof, Sefi Fuchs
Supervised by Yehuda Dar
1D and 2D Signals compression using improved tree coding, exploiting similarities of dyadic blocks by merging them into one tree leaf, allowing for adaptive tree-structure.
The studied algorithms compensate for an inherent issue in standard tree-based signal coding - squared blocks which limit the ability to reduce representation bit-cost.
Based on:
[1]Rate-Distortion Optimized Tree-Structured Compression Algorithms for Piecewise Polynomial Images by Rahul Shukla, Member, IEEE, Pier Luigi Dragotti, Member, IEEE, Minh N. Do, and Martin Vetterli, Fellow, IEEE .
[2]Image compression via improved quadtree decomposition algorithms by E. Shusterman and M. Feder
Please, see project report.
Please, see final presentation.