Methods of using vector quantization combined with singular value decomposition (SVD) and simplified least square estimation (LSE) compensation are proposed. The complexity of computation is decreased by determining a simpler scheme to obtain the same optimal estimated singular values as the LSE. With the assistance of the matrix-decomposed codebooks, edge degradation and compression rate can be improved by using a few least-square-compensated singular values. Avoiding the high computational complexity of SVD during the encoding and decoding procedures and achieving good quality of image coding are the main contributions of the present work.
|Number of pages||4|
|Journal||Proceedings - IEEE International Symposium on Circuits and Systems|
|Publication status||Published - 1991 Dec 1|
|Event||1991 IEEE International Symposium on Circuits and Systems Part 1 (of 5) - Singapore, Singapore|
Duration: 1991 Jun 11 → 1991 Jun 14
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering