Title :
Modified tree structure for transform vector quantization
Author :
Panusopone, K. ; Rao, K.R.
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
Abstract :
In this paper, we present a modified image format which is appropriate for transform vector quantization. Based on tree structure, this format can adopt itself to the detail in image with small overhead. Compared to conventional quadtree structure, the proposed technique provides a simpler structure because of its constant output size. This benefit comes from the subsampling process of the normal tree structure. The unique characteristic of a new format combining with the strength of transform vector quantization improves coding gain of the proposed system. Simulation results in terms of objective criteria are also given to illustrate this improvement
Keywords :
image coding; image sampling; transform coding; trees (mathematics); vector quantisation; coding gain; digital images; modified image format; modified tree structure; objective criteria; subsampling process; transform vector quantization; Bit rate; Digital images; Image coding; Image sampling; Image segmentation; Pixel; Shape; Testing; Tree data structures; Vector quantization;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.541815