Hybrid image compression algorithm based on fractal coding and wavelet transform

I. Andreopoulos, Y. A. Karayiannis, T. Stouraitis

Research output: Contribution to journalConference articlepeer-review

21 Scopus citations

Abstract

Recently, in order to achieve satisfactory image and video quality and fast transmission in sometimes very low bandwidth channels, the demand for high compression ratios and fast speed in the coding and decoding procedure has been increased. A novel algorithm for very high compression of images is proposed in this paper. First of all the image is decomposed through a wavelet transform. Then the low frequency part of the decomposed image is coded by using a near lossless method while the rest of the image is coded by using a fractal coding techniques. In addition, two classification methods are applied sequentially, increasing the speed of the image compression algorithm while preserving the good results with respect to PSNR and compression ratio. Its performance is compared to existing standard algorithms achieving superior results in compression ratio as well as in speed.

Original languageBritish English
Pages (from-to)III-37-III-40
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume3
DOIs
StatePublished - 2000
EventProceedings of the IEEE 2000 International Symposium on Circuits and Systems, ISCAS 2000 - Geneva, Switz, Switzerland
Duration: 28 May 200031 May 2000

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