Single image blind motion deblurring

Bingbing Duan; Yi Li

doi:10.1117/12.2244865

29 August 2016 Single image blind motion deblurring

Bingbing Duan, Yi Li

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003328 (2016) https://doi.org/10.1117/12.2244865
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

Recovering a latent image from its blurry version is a severely ill-posed problem. In this paper a post process method is proposed for accurately estimating motion blur kernel based on its prior knowledge. And considering the small details destroy blur kernel estimation, an image decomposition process is executed before the estimation, which can decompose the image into cartoon and texture components. In the iterative framework, the cartoon that contains the main structures will be used to blur kernel estimation for avoiding the artifacts introduced by small texture. In addition, the algorithm adopted in the paper dynamically adjusts the size of patch which contains blur kernel instead of using the fix one as other works. Experimental results show that our method can get the more precise blur kernel and obtain the inspiring deblurring version from single blurry image.

Citation Download Citation

Bingbing Duan and Yi Li "Single image blind motion deblurring", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003328 (29 August 2016); https://doi.org/10.1117/12.2244865

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KEYWORDS

Image processing

Motion estimation

Motion models

Point spread functions

Deconvolution

Image analysis

Cameras

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