26 February 2010 An improved algorithm for restoration of the image motion blur
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75461W (2010) https://doi.org/10.1117/12.855129
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
This paper presents an improved algorithm for the image motion restoration by combining Wiener filtering with image histogram Equalization. We take the following steps to recover a uniform rectilinear motion image blur: Firstly, the parameter in the process of image degradation is determined on its spectrograph (Point Spread Function, PSF); Secondly, putting the PSF back into the Wiener filter's formula is to design the appropriate parameter y; Finally, the Wiener filtering method and the histogram equalization are integrated to form an improved Wiener filter algorithm for restoring uniform motion image blur. Experimental results show that visual comparison of images through experiments, improved the recovery algorithm to be significantly better than average effect of Wiener filtering method.
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Wenshuo Gao, Wenshuo Gao, Lei Yang, Lei Yang, Weiwei Zheng, Weiwei Zheng, Xiaoyu Wu, Xiaoyu Wu, "An improved algorithm for restoration of the image motion blur", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461W (26 February 2010); doi: 10.1117/12.855129; https://doi.org/10.1117/12.855129
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