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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 6, Iss. 5 — May. 1, 2008
  • pp: 334–337

Real-time restoration of rotational blurred image using gradient-loading

Chaoyang Han, Jianxun Li, Xiao Chen, and Zhengfu Zhu  »View Author Affiliations

Chinese Optics Letters, Vol. 6, Issue 5, pp. 334-337 (2008)

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The key to the restoration of rotational motion blurred image is how to restore the image under a low cost and to correct the irreversibility of the degradation function matrix. Based on the special qualities of degradation function matrix and precise deduction in space-domain, we present a new approach using gradient-loading for restoration of rotational blurred image. By easily adding a gradient operator, the irreversibility of the original matrix is corrected and can be applied for inverse filtering then. Gradient-loading is the optimized approach which combines the advantages of both the approaches using constrained least square filtering and traditional diagonal-loading. Compared with the approach using least square filtering, its peak signal-to-noise ratio (PSNR) is improved from 3.18 to 6.46 dB, while the computing time is reduced to 1/2-1/3. Experimental results demonstrate the effectiveness, noise-resistibility, robustness, and low complexity of this approach, which make it more suitable for real-time environment.

© 2008 Chinese Optics Letters

OCIS Codes
(100.0100) Image processing : Image processing
(100.3020) Image processing : Image reconstruction-restoration
(100.5760) Image processing : Rotation-invariant pattern recognition

Chaoyang Han, Jianxun Li, Xiao Chen, and Zhengfu Zhu, "Real-time restoration of rotational blurred image using gradient-loading," Chin. Opt. Lett. 6, 334-337 (2008)

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