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Sun S.-J.,National University of Defense Technology | Wu Q.,Airforce Training Equipment Institute | Li G.-H.,National University of Defense Technology
Journal of China Universities of Posts and Telecommunications | Year: 2010

Motion blur due to camera shake during exposure is one of the most common reasons of image degradation, which usually reduces the quality of photographs seriously. Based on the statistical properties of the natural image's gradient and the blur kernel, a blind deconvolution algorithm is proposed to restore the motion-blurred image caused by camera shake, adopting the variational Bayesian estimation theory. In addition, the ring effect is one problem that is not avoided in the process of image deconvolution, and usually makes the visual effect of the restored image badly. So a dering method is put forward based on the sub-region detection and fuzzy filter. Tested on the real blurred photographs, the experimental results show that the proposed algorithm of blind image deconvolution can remove the camera-shake motion blur from the degraded image effectively, and can eliminate the ring effect better, while preserve the edges and details of the image well. © 2010 The Journal of China Universities of Posts and Telecommunications. Source


Sun S.,National University of Defense Technology | Wu Q.,Airforce Training Equipment Institute | Li G.,National University of Defense Technology
Key Engineering Materials | Year: 2010

Overlap-blur is caused by the relative movement of high speed between the camera and the object during the exposure process, which is one of the most common phenomenons of image degradation during the criminal detection forensics work. Based on the analysis of the overlap-blurred image's characteristic, a coded-shutter model is proposed to approximate the nature of overlap-blur. As the first attempt, using the coded-shutter model, an image deblurring algorithm is designed for the restoration of the overlap-blurred images. The experiment results show the validity and rationality of the coded-shutter model for deblurring the overlap-blurred images. When tested on the real overlap-blurred photographs, the proposed algorithm can restore the information of interest in the blurred images better, which demonstrates the higher practical value of the algorithm. © 2010 Trans Tech Publications. Source


Wu Q.,Airforce Training Equipment Institute | Sun S.-J.,National University of Defense Technology | Li G.-H.,National University of Defense Technology
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | Year: 2011

A coded-shutter model is proposed to approximate the nature of overlap-blur, which often arises in the criminal detection forensics work. A blind image deconvolution algorithm is designed based on the coded-shutter model. The experiment results show that when tested on the real overlap-blurred photographs, the proposed algorithm can restore the information of interest in the blurred images effectively. Source


Sun S.-J.,National University of Defense Technology | Wu Q.,Airforce Training Equipment Institute | Li G.-H.,National University of Defense Technology
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | Year: 2010

Motion blur due to camera shaking during exposure is one common phenomena of image degradation. Based on the variational Bayesian estimation theory and the statistical characteristic of the natural images gradient, a blind image deconvolution algorithm is proposed to restore camera-shake blurred image. In addition, based on sub-region detection and Fuzzy filter, a deringing method is proposed to reduce ringing effect, which is not avoided in the process of image deconvolution. The experimental results show that the algorithm of blind image deconvolution can effectively remove the motion blur caused by camera shaking, and can effectively reduce the ringing effect, while preserve the image edge and details well and improve the quality of the restored image. Source

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