Adaptive vector quantization based on quality criterion using Hosaka plot

Author

Joshi, Madhuri A. ; Khambete, Madhuri B.

Author_Institution

Dept. of Electron. & Telecommun., Gov. Coll. of Eng., Pune, India

Volume

1

fYear

1999

fDate

1999

Firstpage

754

Abstract

In this paper, adaptive vector quantization based on the quality of the picture is suggested. In this method the codebook size is kept variable. New code vectors are added such that the quality of the image is improved compared to the fixed codebook. Code vectors are not at added at random from a supercodebook, which is normally done in adaptive vector quantization but only selective code vectors are added such that each code vector is useful for the improvement in the quality. This keeps the codebook size limited. Hence the time required for the compression or the memory requirement is not increased due to adaptive codebook yet the quality is improved. Therefore real time implementation is possible using special hardware. This algorithm is successful for any type of image. With the addition of 25% code vectors the maximum quality was improved

Keywords

adaptive codes; adaptive signal processing; image coding; Hosaka plot; adaptive vector quantization; algorithm; code vectors; compression time; image quality; memory requirement; picture quality; quality criterion; real time implementation; supercodebook; variable codebook size; Algorithm design and analysis; Computational complexity; Decoding; Distribution functions; Educational institutions; Image coding; Image reconstruction; Pixel; Training data; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818524

Filename

818524