Super-sampling method during decoding for fractal image compression
Jie He 1, Hui Guo 1
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12A) 501-506
1 School of Information and Electronic Engineering, Wuzhou University,Wuzhou, Guangxi,543002,China
A super-sampling algorithm is presented to avoid the need for recoding when magnifying a reconstructed image after fractal image compression, thus making the fractal image compression method more practical. The sizes of and coordinates of range blocks and domain blocks in the decoder are adjusted according to the proportional relationship between the decoded initial image and the encoded image; then, the bilinear interpolation method is applied to complete the re-sampling process; and then, iterations are conducted. Thus, image magnification is directly completed in the decoding process. Image magnification with this algorithm does not lead to change in image texture or loss of image quality, and also image quality through super-sampling mainly depends on the size of sub-blocks during coding, according to experimental results. The method put forward in this paper can broaden the application scope of fractal image compression by effectively avoiding the excess time consumption resulting from re-decoding.