29 August 2016 PSF estimation for blind motion deblurring with image edge prior
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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003324 (2016) https://doi.org/10.1117/12.2244846
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
Motion blur due to camera shaking during exposure is one common phenomena of image degradation. Image motion deblurring is an ill-posed problem, so regularization with image prior and (or) PSF prior is used to estimate PSF and (or) recover original image. In this paper, we exploit image edge prior to estimate PSF based on useful edge selection rule. And we still adopt L1 norm of PSF to ensure its sparsity and Tikhonov regularization to ensure its smoothing during the PSF estimation procedure. And the Laplacian image prior is adopted to restore latent image. The experiment shows that the proposed algorithm outperforms other algorithms.
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Ying Fu, Ying Fu, Jin Rong Hu, Jin Rong Hu, Xi Wu, Xi Wu, Ji Liu Zhou, Ji Liu Zhou, } "PSF estimation for blind motion deblurring with image edge prior", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003324 (29 August 2016); doi: 10.1117/12.2244846; https://doi.org/10.1117/12.2244846
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