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Proceedings Paper

Image fractal coding algorithm based on complex exponent moments and minimum variance
Author(s): Feixia Yang; Ziliang Ping; Suhua Zhou
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Paper Abstract

Image fractal coding possesses very high compression ratio, the main problem is low speed of coding. The algorithm based on Complex Exponent Moments(CEM) and minimum variance is proposed to speed up the fractal coding compression. The definition of CEM and its FFT algorithm are presented, and the multi-distorted invariance of CEM are discussed. The multi-distorted invariance of CEM is fit to the fractal property of an image. The optimal matching pair of range blocks and domain blocks in an image is determined by minimizing the variance of their CEM. Theory analysis and experimental results have proved that the algorithm can dramatically reduce the iteration time and speed up image encoding and decoding process.

Paper Details

Date Published: 8 February 2017
PDF: 9 pages
Proc. SPIE 10253, 2016 International Conference on Robotics and Machine Vision, 102530A (8 February 2017); doi: 10.1117/12.2266703
Show Author Affiliations
Feixia Yang, Beijing Univ. of Posts and Telecommunications (China)
Ziliang Ping, Inner Mongolia Normal Univ (China)
Beijing Univ. of Posts and Telecommunications (China)
Suhua Zhou, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 10253:
2016 International Conference on Robotics and Machine Vision
Alexander V. Bernstein; Adrian Olaru; Jianhong Zhou, Editor(s)

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