A hybrid image compression algorithm based on fractal coding and wavelet transform

Author

Andreopoulos, I. ; Karayianris, Y.A. ; Stouruaitis, T.

Author_Institution

Dept. of Electr. & Comput. Eng., Patras Univ., Greece

Volume

3

fYear

2000

fDate

2000

Firstpage

37

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 technique. 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

Keywords

data compression; fractals; image coding; wavelet transforms; PSNR; classification methods; compression ratio; fractal coding; hybrid image compression algorithm; near lossless coding method; very high compression; wavelet transform; Bandwidth; Code standards; Discrete cosine transforms; Discrete wavelet transforms; Fractals; Frequency; Image coding; Quantization; Transform coding; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on

Conference_Location

Geneva

Print_ISBN

0-7803-5482-6

Type

conf

DOI

10.1109/ISCAS.2000.855990

Filename

855990