Wavelet based image coding using adaptive VQ

Author

Voukelatos, Stathis P. ; Soraghan, John J.

Author_Institution

Signal Process. Div., Strathclyde Univ., Glasgow, UK

Volume

3

fYear

1996

fDate

18-22 Nov 1996

Firstpage

1488

Abstract

Multiresolution based coding schemes have received significant attention in the field of image compression due to their advantages over standard block transform based coders. A novel multiresolution adaptive VQ (MRAVQ) still image codec is presented. A biorthogonal wavelet transform is applied on the input image to generate a number of subbands. The wavelet coefficients are coded using an adaptive VQ scheme combined with dynamic bit allocation based on marginal analysis. By taking into account the frequency response of the Human Visual System (HVS) in the design of the subband vector quantizers, the subjective quality of the reconstructed images is shown to be improved. A performance comparison with JPEG is presented

Keywords

adaptive signal processing; codecs; image coding; image resolution; transform coding; vector quantisation; visual perception; wavelet transforms; JPEG; biorthogonal wavelet transform; block transform based coders; dynamic bit allocation; frequency response; human visual system; image compression; image reconstruction; input image; marginal analysis; multiresolution adaptive VQ; performance; subband vector quantizers; subjective quality; wavelet based image coding; wavelet coefficients; Bit rate; Code standards; Codecs; Frequency response; Humans; Image coding; Image generation; Image resolution; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity

Conference_Location

London

Print_ISBN

0-7803-3336-5

Type

conf

DOI

10.1109/GLOCOM.1996.591889

Filename

591889