Vector quantization and signal compression
Vector quantization and signal compression
Introduction to data compression
Introduction to data compression
Complexity-constrained tree-structured vector quantizers
Signal Processing
Tree Structured Vector Quantization with Dynamic Path Search
ICPP '99 Proceedings of the 1999 International Workshops on Parallel Processing
IEEE Transactions on Information Theory
Lossless compression of VQ index with search-order coding
IEEE Transactions on Image Processing
Fast full search equivalent encoding algorithms for image compression using vector quantization
IEEE Transactions on Image Processing
Adaptive motion tracking block matching algorithms for video coding
IEEE Transactions on Circuits and Systems for Video Technology
A fast search algorithm for vector quantization using a directed graph
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we shall present two efficient codebook-matching schemes with a locally adaptive vector quantizer (LAVQ) and a search-ordering coding vector quantizer (SOCVQ) to be applied in the Vector Quantization (VQ) encoding system. The proposed codebook-matching schemes exploit the correlation property between adjacent image blocks so that the process of codebook matching can be speed up. Simulation results show that the time complexity of the proposed schemes is lower than those of PCA, Multipath TSVQ, and DPTSVQ. Moreover, the image quality of the proposed methods is close to those processed by the other methods.