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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 4, Iss. 10 — Oct. 1, 2006
  • pp: 573–575

Blind noisy image separation based on a new robust independent component analysis network

Jian Ji and Zheng Tian  »View Author Affiliations


Chinese Optics Letters, Vol. 4, Issue 10, pp. 573-575 (2006)


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Abstract

The separation of noisy image is a very exciting area of research, especially when no prior information is available about the noisy image. In this paper, we propose a robust independent component analysis (ICA) network for separation images contaminated with high-level additive noise or outliers. We reduce the power of additive noise by adding outlier rejection rule in ICA. Extensive computer simulations confirm robustness and the excellent performance of the resulting algorithms.

© 2006 Chinese Optics Letters

OCIS Codes
(100.0100) Image processing : Image processing
(100.3020) Image processing : Image reconstruction-restoration
(200.4260) Optics in computing : Neural networks

Citation
Jian Ji and Zheng Tian, "Blind noisy image separation based on a new robust independent component analysis network," Chin. Opt. Lett. 4, 573-575 (2006)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-4-10-573


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