High quality imagepairbased deblurring method us

Authors: Guangmang Cui Jufeng Zhao Xiumin Gao Huajun Feng Yueting Chen

Publish Date: 2017/02/22

Volume: 24, Issue: 2, Pages: 128-138

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Abstract

Image deconvolution problem is a challenging task in the field of image process Using image pairs could be helpful to provide a better restored image compared with the deblurring method from a single blurred image In this paper a high quality imagepairbased deblurring method is presented using the improved RL algorithm and the gaincontrolled residual deconvolution technique The input image pair includes a nonblurred noisy image and a blurred image captured for the same scene With the estimated blur kernel an improved RL deblurring method based on edge mask is introduced to obtain the preliminary deblurring result with effective ringing suppression and detail preservation Then the preliminary deblurring result is served as the basic latent image and the gaincontrolled residual deconvolution is utilized to recover the residual image A saliency weight map is computed as the gain map to further control the ringing effects around the edge areas in the residual deconvolution process The final deblurring result is obtained by adding the preliminary deblurring result with the recovered residual image An optical experimental vibration platform is set up to verify the applicability and performance of the proposed algorithm Experimental results demonstrate that the proposed deblurring framework obtains a superior performance in both subjective and objective assessments and has a wide application in many image deblurring fieldsWe thank the reviewers to help us to improve this paper This work is supported by National Natural Science Foundation of China Grant no 61405052 and 61475135 And the work is also partly supported by the Jiangsu Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Science and Technology Grant No 30916014107

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