A new interpolative subband coding algorithm for lossless image compression

Author

Deng, Guang

Author_Institution

Sch. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

93

Abstract

Although subband and wavelet coding have been proved to be very efficient for lossy image compression, it is generally not possible to represent the output of most subband/wavelet filters by a limited number of bits and yet guarantee perfect reconstruction. This is a fundamental problem when applying subband and wavelet coding to lossless image compression. This paper presents a solution to this problem by an investigation of interpolative subband coding. Based on an evaluation of the decorrelation performance of some typical image interpolation techniques, a new interpolative coding algorithm has been proposed. The new algorithm has been shown to be superior to two related algorithms, the hierarchical interpolation algorithm and the recently published minimum entropy pyramid algorithm

Keywords

data compression; entropy codes; image coding; interpolation; minimum entropy methods; decorrelation performance; hierarchical interpolation algorithm; image interpolation; interpolative subband coding algorithm; lossless image compression; minimum entropy pyramid algorithm; Australia; Biomedical imaging; Decorrelation; Discrete cosine transforms; Entropy coding; Filters; Image coding; Image reconstruction; Interpolation; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559441

Filename

559441