Abstract
Today, fractal image encoding method becomes an effective loss compression method in multimedia without resolution, and its negativeness is that its high computational complexity. So many approximate methods are given to decrease the computation time. So the distribution of error points is valued to research. In this paper, by extracted primary additional error values, we first present a novel fast fractal encoding method. Then, with the extracted primary additional error values, we abstract the distribution of these values. We find that the different distribution of values denotes the different parts in images. Finally, we analyze the experimental results and find some properties of these values. The experimental results also show the effectiveness of the method.
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Acknowledgments
This work is supported by Grants Postgraduate Scientific Research Innovation Foundation of Inner Mongolia [B20141012610Z], Programs of Higher-level talents of Inner Mongolia University [No. 125126, 115117, 135103], Scientific projects of higher school of Inner Mongolia [No. NJZY13004], Natural Science Foundation of Inner Mongolia [No. 2014BS0606, 2014BS0602], National Natural Science Foundation of China [No. 61261019, 61262082].
The authors wish to thank the anonymous reviewers for their helpful comments in reviewing this paper.
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The authors declare that there are no coflict of interest in this paper.
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Liu, S., Fu, W., He, L. et al. Distribution of primary additional errors in fractal encoding method. Multimed Tools Appl 76, 5787–5802 (2017). https://doi.org/10.1007/s11042-014-2408-1
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DOI: https://doi.org/10.1007/s11042-014-2408-1