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Proceedings Paper

An improved NAS-RIF algorithm for blind image restoration
Author(s): Ning Liu; Yanbin Jiang; Shuntian Lou
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Paper Abstract

Image restoration is widely applied in many areas, but when operating on images with different scales for the representation of pixel intensity levels or low SNR, the traditional restoration algorithm lacks validity and induces noise amplification, ringing artifacts and poor convergent ability. In this paper, an improved NAS-RIF algorithm is proposed to overcome the shortcomings of the traditional algorithm. The improved algorithm proposes a new cost function which adds a space-adaptive regularization term and a disunity gain of the adaptive filter. In determining the support region, a pre-segmentation is used to form it close to the object in the image. Compared with the traditional algorithm, simulations show that the improved algorithm behaves better convergence, noise resistance and provides a better estimate of original image.

Paper Details

Date Published: 11 January 2007
PDF: 6 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62793H (11 January 2007); doi: 10.1117/12.725348
Show Author Affiliations
Ning Liu, Xidian Univ. (China)
Yanbin Jiang, Xidian Univ. (China)
Shuntian Lou, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics
Xun Hou; Wei Zhao; Baoli Yao, Editor(s)

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