Fractal Image Compression Based on Wavelet
Xiuying Zhao, Linpei Zhai, Liang Xin · Infrared · 2007
Over the last ten years,the application of fractal transform has become one of the hot problems in the realm of image compression techniques.Theoretically,the compression ratio of the fractal transform can be several orders of magnitude higher than that of the classic compression method. However,in fact,the original images can often be polluted by noise.The existence of noise can not only cause the image coding time to be prolonged,but also cause the signal-to-noise ratio of images to be reduced and hence cause the image quality to be decreased apparently.In this paper,the principle and characteristics of wavelet transform and fractal compression coding are analyzed.The method for fractal image noise reduction and compression based on wavelet are studied by using the fractal serf-similarity. The method can effectively reduce the calculation complexity and coding time and obtain good image quality.The experimental results have shown that good compression results can be obtained by this method in the case of large compression ratio and the potential of the method is apparent.