A fractal vector quantizer for image coding

作     者：Kim, CS Kim, RC Lee, SU 

作者机构：Seoul Natl Univ Sch Elect Engn Signal Proc Lab Seoul 151742 South Korea Hansung Univ Sch Informat & Comp Engn Seoul South Korea 

出 版 物：《IEEE TRANSACTIONS ON IMAGE PROCESSING》 (IEEE Trans Image Process)

年 卷 期：1998年第7卷第11期

页      面：1598-1602页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Samsung Electronics Company 

主　　题：.image coding vector quantization quantizer real images source image contraction codeword fractal image first stage fractal coders range block conventional fractal 

摘      要：We investigate the relation between VQ (vector quantization) and fractal image coding techniques, and propose a novel algorithm for still image coding, based on fractal vector quantization (FVQ). In FVQ, the source image is approximated coarsely by fixed basis blocks, and the codebook is self-trained from the coarsely approximated image, rather than from an outside training set or the source image itself. Therefore, FVQ is capable of eliminating the redundancy in the codebook without any side information, in addition to exploiting the self-similarity in real images effectively. The computer simulation results demonstrate that the proposed algorithm provides better peak signal-to-noise ratio (PSNR) performance than most other fractal-based coders.