Transform-based fine-coarse vector quantization

Author

Lam, Kin-Man ; Siu, Wan-Chi ; Tse, Kai-Ming

Author_Institution

Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong

fYear

1993

fDate

3-6 May 1993

Firstpage

671

Abstract

Fine-coarse vector quantization (FCVQ) is a fast method for searching an unstructured vector quantization codebook. This approach imposes slight distortion to the image and requires substantially large storage. The storage requirement restricts the dimension of the vector blocks. The FCVQ is designed in the transform domain (FCVQ-TB) to provide a possible solution to the problem of memory requirement. Experiments are given to evaluate the performance of the FCVQ-TB

Keywords

computational complexity; image coding; table lookup; transforms; vector quantisation; VQ; fast method; fine-coarse vector quantization; lookup table construction; memory requirement; storage requirement; transform domain; unstructured vector quantization codebook; Arithmetic; Computational complexity; Discrete cosine transforms; Distortion measurement; Frequency; Image coding; Image storage; Partitioning algorithms; Table lookup; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Conference_Location

Chicago, IL

Print_ISBN

0-7803-1281-3

Type

conf

DOI

10.1109/ISCAS.1993.393810

Filename

393810

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2605897