Fast image coding approach with denoising based on fractal and DWT
Shiyong Zhang · Jisuanji gongcheng yu sheji · 2011
A new image coding algorithm is presented,which combined the fractal and discrete wavelet transform,based on the statistical character of image blocks,the distance between the value block and its best matched domain block in the baseline fractal coding and the distribution of noise unknown.In the proposed algorithm,if the robust regression between the value block and it's best matched domain block is less than the given threshold value,the value block is compressed by fractal coding,otherwise is compressed by discrete waveform transform.Simulation results show that the proposed algorithm can speed up encoding time greatly and improve on the quality of the reconstructed image.Especially that has good robustness against the outliers caused by salt and pepper noise.