Title :
Region-based image compression using fractals and shape-adaptive DCT
Author :
Belloulata, Kamel ; Stasinski, Ryszard ; Konrad, Janusz
Author_Institution :
INRS Telecommun., Verdun, Que., Canada
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;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.823010
