A Novel Image Fractal Compression Algorithm Based on Entropy
Jing-xuan Jin · Journal of Yanbian University · 2007
Despite the advances made, the long computing time in the encoding phase still remain the main drawback of the fractal compression technique.It is known that the IFS can not change the image blocks' entropy values.However,a novel fractal compression approach based on reformed entropy is presented.The reformed entropy reduced the complex of the algorithm,on the other hand,the matched blocks are reduced by combining the pools of the domains,which decreases the encoding time.The simulation results illuminate that the new method has high efficiency,and it can improve the PSNR and the computing time compared with other fast algorithms,the compression ratio is also increased.