Image data compression by adaptive vector quantization of classified wavelet coefficients

Author

Ancis, M. ; Giusto, D.D.

Author_Institution

Cagliari Univ., Italy

Volume

1

fYear

1997

fDate

20-22 Aug 1997

Firstpage

330

Abstract

The paper deals with a novel technique for image data compression based on adaptive vector quantization of wavelet coefficients. High compression factors can be achieved without loosing the informative content of each subband for the statistical properties of these coefficients. Performance of this approach, evaluated on a wide variety of pictures, is far better than the JPEG one, both in quantitative terms (PSNR) and in qualitative ones (absence of blockness distortion)

Keywords

adaptive codes; image coding; image representation; transform coding; vector quantisation; wavelet transforms; adaptive vector quantization; classified wavelet coefficients; data compression; high compression factors; image coding; image compression; statistical properties; subband coding; wavelet representation; Data compression; Frequency; Image coding; Image resolution; Iterative algorithms; PSNR; Signal resolution; Statistical distributions; Vector quantization; Wavelet coefficients;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and Signal Processing, 1997. 10 Years PACRIM 1987-1997 - Networking the Pacific Rim. 1997 IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-3905-3

Type

conf

DOI

10.1109/PACRIM.1997.619966

Filename

619966