Hybrid encoding analysis of fractal image compression method based on wavelet transform
Xiaoyan Xu, Philip P. Chen, Juan Dai · 2008
Firstly, the principle and characteristics of fractal image encoding is introduced, and a kind of hybrid image compression method is developed for the improvement of image compression quality, which is the combination of fractal image encoding and wavelet decomposition. In the process of encoding, the image is dealt by three level wavelet decomposition, and the high frequency section of the decomposed image adopts scatheless predicting encoding, while the low frequency section adopts fractal compression encoding. In the process of decoding, the high frequency section carries out scatheless predicting decoding, while the low frequency section is decoded to IFS (iterative function system) code which is used for subimage reconstruction. The experimental result shows that the application of the designed hybrid image compression method can increase the signal-to-noise ratio of an image while the high compression ratio of the image is guaranteed.