Affiliations: Department of Information Engineering and Computer
Science, Feng Chia University, Taichung, Taiwan, 40724. E-mail: ccc@cs.ccu.edu.tw | Department of Information Management, Chaoyang
University of Technology, Taichung, Taiwan, 41349. E-mail: tclu@cyut.edu.tw | Department of Computer Science and Information
Engineering, National Chung Cheng University, Chiayi, Taiwan, 621
Abstract: 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.
