Region-based image compression using fractals and shape-adaptive DCT

Author

Belloulata, Kamel ; Stasinski, Ryszard ; Konrad, Janusz

Author_Institution

INRS Telecommun., Verdun, Que., Canada

Volume

2

fYear

1999

Firstpage

815

Abstract

The significant effort to provide region-based compression and functionality within the MPEG-4 standard is not paralleled in the still-image compression domain. In this paper, we propose an approach to fractal coding of still images that is truly region-based. Unlike previous fractal compression methods the proposed approach compresses an image region-by-region based on a prior segmentation, very much like in MPEG-4; individual regions can be decoded without full image decoding. The method performs the domain/range block matching in frequency domain using a shape-adaptive discrete cosine transform. Experimental results evaluating the performance of the approach are shown.

Keywords

data compression; decoding; discrete cosine transforms; encoding; frequency-domain analysis; image coding; image segmentation; standards; MPEG-4 standard; domain/range block matching; fractal coding; fractals; frequency domain; performance; prior segmentation; region-based image compression; shape-adaptive discrete cosine transform; Business; Code standards; Decoding; Discrete cosine transforms; Fractals; Frequency domain analysis; Image coding; Image segmentation; MPEG 4 Standard; Streaming media;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-5467-2

Type

conf

DOI

10.1109/ICIP.1999.823010

Filename

823010