Title :
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
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;
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
DOI :
10.1109/ISCAS.2000.855990
