Title :
A distortion analysis of image VQ-based coding using a finite mixture distribution model
Author :
Natale, Carlo ; Cherifi, Hocine
Author_Institution :
Inst. Ingenierie de la Vision, Saint-Etienne, France
Abstract :
Traditional coding schemes break an image into blocks prior to coding. It is possible to classify current algorithms according to the block construction. Either the block size is kept constant, or the block size is image dependent. Since most natural images can be divided into regions of high and low detail, variable block-size coding techniques exploit more efficiently the structure of the data. The superior performance of this scheme over fixed block ones has been observed experimentally. Rate-distortion analysis is carried out for compression systems using vector quantization. Using an appropriate model of the signal we derive analytical results that assess the superiority of variable block vector quantization algorithms
Keywords :
image coding; image segmentation; rate distortion theory; statistical analysis; vector quantisation; VQ; block construction; compression systems; constant block size; data structure; distortion analysis; finite mixture distribution model; image VQ based coding; image dependent block size; image regions; natural images; rate distortion analysis; signal model; variable block size coding; variable block vector quantization algorithms; Algorithm design and analysis; Bit rate; Construction industry; Data compression; Image analysis; Image coding; Image quality; Signal analysis; Transform coding; Vector quantization;
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
DOI :
10.1109/DSPWS.1996.555512
