Volume 6 Issue 6
Dec.  2013
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ZHU Ming, YANG Hang, HE Bai-gen, LU Jian-feng. Image motion blurring restoration of joint gradient prediction and guided filter[J]. Chinese Optics, 2013, 6(6): 850-855. doi: 10.3788/CO.20130606.850
Citation: ZHU Ming, YANG Hang, HE Bai-gen, LU Jian-feng. Image motion blurring restoration of joint gradient prediction and guided filter[J]. Chinese Optics, 2013, 6(6): 850-855. doi: 10.3788/CO.20130606.850

Image motion blurring restoration of joint gradient prediction and guided filter

doi: 10.3788/CO.20130606.850
  • Received Date: 11 Sep 2013
  • Rev Recd Date: 17 Oct 2013
  • Publish Date: 10 Dec 2013
  • To modify the image motion blurring induced by the relative position motion between a camera and a subject, a robust blind deconvolution method based on single image motion blurring was proposed. Firstly, the strong edges of a latent image was predicted. By constraining image gradient, the point spread function in frequency domain was estimated fast and robustly by this method. After that, the non-blind deconvolution algorithm based on the gradient constrain was used to restore the latent image. Meanwhile, a new edge preserving filter-guided filter was used to suppress the ringing and noise. Experiments show that the proposed method can restore a high quality image with clear edges and tissues from single motion blurring image, and the operation time is less than 20 s.

     

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