Subjective coding of best basis wavelet coefficients for multiresolution analysis

Author

Gunawan, Dadang

Author_Institution

Dept. of Electr. Eng., Indonesia Univ., Depok, Indonesia

Volume

3

fYear

1997

fDate

9-12 Sep 1997

Firstpage

1363

Abstract

This paper presents a wavelet based image compression algorithm using subjective thresholding and quantization of the wavelet coefficients. subjective compression techniques use the properties of the human visual system (HVS) to eliminate redundant information in an image. By combining the wavelet transform coefficients with psychovisual thresholding and quantization schemes, a coding result of 0.31 bits per pixels has been obtained with weighted PSNR of 39.07 dB

Keywords

data compression; image coding; image resolution; quantisation (signal); transform coding; visual perception; wavelet transforms; best basis wavelet coefficients; human visual system; image compression algorithm; multiresolution analysis; pixels; psychovisual thresholding; quantization; subjective coding; subjective compression; subjective thresholding; wavelet transform coefficients; weighted PSNR; Binary trees; Bit rate; Cost function; Image coding; Multiresolution analysis; Quantization; Signal resolution; Wavelet analysis; Wavelet coefficients; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on

Print_ISBN

0-7803-3676-3

Type

conf

DOI

10.1109/ICICS.1997.652212

Filename

652212