improved fractal image compression coding algorithm

What is it about?

A novel orthogonal sparse fractal coding algorithm based on image texture feature is proposed. Simulation results show that the proposed algorithm in this paper can obtain better image reconstruction quality and speed up encoding time significantly as compared to the conventional fractal coding schemes.

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Why is it important?

The purpose of this study is to improve the coding quality from the perspective of gray level transform and feature extraction. In this paper, a novel orthogonal sparse fractal coding algorithm based on image texture feature is proposed. We define a normalized version as the new gray description feature of the image block so that two improved methods are scientifically combined in theory and algorithm. First, orthogonal sparse gray level transform based on sparse decomposition improves image reconstruction quality and decoding speed. Then, similarity measure matrix, which stores the variance feature between range blocks and domain blocks, is used to reduce redundancies and encoding time.