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Proceedings Paper

A modified image restoration algorithm for multiframe degraded images
Author(s): Zexun Geng; Zhenlei Zhao; Xiang Song
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Paper Abstract

A modified multiframe image restoration algorithm of degraded images is described in this paper, which is based on the method developed by V. Katkovnik. The projection gradient algorithm based on anisotropic LPA-ICI filtering, being proposed by V. Katkovnik, could only restore images contaminated by Gaussian noisy, also it was too complicated and time consuming. By improving Katkovnik's cost function and applying constraints on image intensity value in iteration, we reached a new multiframe recursive iteration restoration scheme in frequency domain. This method is suitable for reconstruction of images degenerated by both Gaussian noise and Poissonian noise, as well by mixed noise. Experimental results demonstrated that this method works efficiently, and could well restore images blurred heavily by multi-noise.

Paper Details

Date Published: 4 May 2009
PDF: 9 pages
Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 735105 (4 May 2009); doi: 10.1117/12.817831
Show Author Affiliations
Zexun Geng, Zhengzhou Institute of Surveying and Mapping (China)
Zhenlei Zhao, Zhengzhou Institute of Surveying and Mapping (China)
Xiang Song, Zhengzhou Institute of Surveying and Mapping (China)


Published in SPIE Proceedings Vol. 7351:
Mobile Multimedia/Image Processing, Security, and Applications 2009
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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