Computer Science ›› 2015, Vol. 42 ›› Issue (5): 305-308.doi: 10.11896/j.issn.1002-137X.2015.05.062

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Motion Deblurring Based on Edge Prior Model

ZHAO Zhi-gang, CHEN Ying-ying, ZHAO Yi, ZHANG Wei-zhong, LV Hui-xian and PAN Zhen-kuan   

  • Online:2018-11-14 Published:2018-11-14

Abstract: How to restore clear images from degraded images is a challenging problem in the field of digital image processing.This paper proposed a restoration algorithm for motion blurred image based on edge prior model and wavelet analysis.We applied a preprocessing procedure before deblurring to remove noise,and then used shock filter to enhance edges and canny edge detection to get clear edges for estimating kernel.After that,we maximized the sparsity of clear image under tight wavelet frame system.Furthermore,the adapted split Bregman method was proposed to solve the optimization problem.Finally,the clear image can be got.The experimental results show that compared with traditional blind restoration algorithms,the proposed method can effectively remove the motion blur.

Key words: Non-blind image restoration,Motion blur,Edge prior model,Split Bregman method,Tight wavelet frame

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