Large block RVQ with multipath searching

Author

Kossentini, Faouzi ; Smith, Mark J T ; Barnes, C.F.

Author_Institution

Georgia Tech Lorraine, Metz, France

Volume

5

fYear

1992

fDate

10-13 May 1992

Firstpage

2276

Abstract

An improved residual vector quantization (RVQ) method for image coding is presented. The RVQ structure has the desirable effect of reducing both computation and memory requirements. However, the performance of RVQ is not as good as that of exhaustive search VQ. Multipath searching is investigated with respect to the design algorithm and encoder implementation. Emphasis is given to the tradeoffs between complexity and performance of RVQ in the context of image coding with vectors of large dimension. Experimental results indicate that coded image quality can be improved by using this approach without significantly increasing complexity

Keywords

image coding; vector quantisation; coded image quality; complexity; encoder implementation; image coding; large block quantisation; multipath searching; residual vector quantization; Algorithm design and analysis; Degradation; Design methodology; Image coding; Image quality; Image reconstruction; Rate-distortion; Speech coding; Tree data structures; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0593-0

Type

conf

DOI

10.1109/ISCAS.1992.230505

Filename

230505