The fractal image compression (fic) algorithm is difficult to be widely used in real-time applications due to the huge consumption of its encoding time. Inspired by the fact that in the decoding process, for any origi...
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The fractal image compression (fic) algorithm is difficult to be widely used in real-time applications due to the huge consumption of its encoding time. Inspired by the fact that in the decoding process, for any original image, a fixed point is generated by the iterations of the fractal codes, the authors propose a specificupdatesearchfic (SUSfic) algorithm, which uses a scale number to control the update times of the fractal codes and to find acceptable matching domain blocks rather than the best ones in the selected domain blocks pool. To further reduce the computation time, in their proposed algorithm, the image blocks created by the equidistant sampling in the range of the original blocks are used to replace themselves when calculating the correlation coefficients as the distances between the adjacent domain blocks. The experimental results presented show that their proposed SUSficalgorithm has a significant improvement in encoding time under the premise of setting an appropriate searchupdate threshold and maintaining image quality when compared with the state-of-the-art ficalgorithms. Therefore, it is a better ficalgorithm.
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