Warped DCT image compression based on evolutionary algorithm
基于演化算法的卷曲DCT图像压缩

In the process of image compression, the discrete cosine transform (DCT)makes the image blurry. With the frequency warping, the warped discrete cosine transform (WDCT)overcomes this shortcoming. However, it is difficult for traditional algorithms to select the frequency warping parameters. Therefore, in this paper, we present a new WDCT image compression algorithm based on an evolutionary algorithm (EAWDCT)to select the parameters with the global optimization of the evolutionary algorithm. To improve the convergence speed and to gain the best parameters quickly and accurately, a heuristic method is used to design the chromosome coding methods and evolutionary operators according to the parameters characteristics. The experiments show that the new algorithm (EAWDCT)improves the peak signal to noise ratio and signal to noise ratio while reducing the root-mean-square error effectively.