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Updated: Jul 7, 2026
06:42
Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
Index assignment for progressive transmission of full-search vector quantization.
E A Riskin1, R Ladner, R Y Wang
1Dept. of Electr. Eng., Washington Univ., Seattle, WA.
Summary
This study introduces novel methods for assigning indices in vector quantization (VQ) to enable progressive image transmission. These techniques improve final signal-to-noise ratios (SNRs) while maintaining high-quality intermediate image approximations.
Area of Science:
- Digital image processing
- Data compression
- Information theory
Background:
- Progressive image transmission allows for gradual display of images, improving user experience over slow networks.
- Fixed-rate full-search vector quantization (VQ) is a compression technique that can be computationally intensive.
- Existing methods may not optimally balance compression efficiency with progressive display quality.
Purpose of the Study:
- To develop new codeword index assignment methods for progressive image transmission using fixed-rate full-search VQ.
- To formulate these assignments as a progressive transmission tree for decoder-side intermediate codeword generation.
- To enable successive approximation capabilities in full-search VQ.
Main Methods:
- Three novel methods for assigning indices to VQ codebooks were developed.
- Assignments were structured as labels on nodes of a full-search progressive transmission tree.
- Tree design utilized the generalized Lloyd algorithm, minimum cost perfect matching, and principal component partitioning.
Main Results:
- The principal component partitioning method yielded intermediate signal-to-noise ratios (SNRs) comparable to tree-structured VQ.
- This method achieved higher final SNRs compared to existing approaches.
- The binary path through the tree effectively represents the progressive transmission code.
Conclusions:
- The proposed index assignment methods enhance full-search VQ for progressive image transmission.
- Principal component partitioning offers a superior balance between intermediate and final image quality.
- This research contributes to efficient and high-quality image compression and transmission techniques.
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