Parameter identification of blur image based on image gradient

Xujiao Peng; Xia Zhao; Zhengming Wang

doi:10.1117/12.2050052

10 January 2014 Parameter identification of blur image based on image gradient

Xujiao Peng, Xia Zhao, Zhengming Wang

Author Affiliations +

Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 906909 (2014) https://doi.org/10.1117/12.2050052
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China

Abstract

Restoration of a degraded image from motion blurring is highly dependent on the estimation of the point spread function, which depends on the blur orientation and the blur extent. In this paper, we present a spectral analysis of image gradients, which has more strong periodic strips compare the spectrum of image. The experiments on simulated images show that our algorithm is capable of accurately identifying the blurring kernel for a wider range of blur orientation and blur extent. Furthermore, it’s been proved to be more robust to noise over available techniques.

Citation Download Citation

Xujiao Peng, Xujiao Peng, Xia Zhao, Xia Zhao, Zhengming Wang, Zhengming Wang, "Parameter identification of blur image based on image gradient", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 906909 (10 January 2014); doi: 10.1117/12.2050052; https://doi.org/10.1117/12.2050052

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