A novel approach for shaken image deblurring

	A novel approach for shaken image deblurring
	Nguyen Q. T.; Cao Y. G.; Liu G. W.; Minh N. P.; Le V. N.
	2014
发表期刊	International Journal of Signal Processing, Image Processing and Pattern Recognition
ISSN	ISBN/20054254
卷号	7 期号:2 页码:85-98
摘要	Blurry images are the bane of many photographers. Although sometimes these images could be retaken in the hope that the next exposure will not be blurred, but frequently they are of some unique event that could only be captured once. The most common cause of blurry images is camera shake. Camera shake means that during the exposure the camera moved. This movement may be very small but still creates blurry images. In this paper, a novel blind-deblurring approach for removing the effect of camera shake from blurry image is proposed. Starting with an image that has been blurred by camera shake, we recover the unknown shape image in two phases: (i) a kernel estimation phase using Radon transform method, and (ii) the shape image recovery based on EM algorithm. Comprehensive comparisons on a number of blurry images show that our approach is not only substantially faster, but it also leads to better deblurring results. Our experimental results are also shown for comparisons. Visually, we find that the restored images are better than those given by the algorithm in other methods from previous works. 2014 SERSC.
收录类别	EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/43687
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Nguyen Q. T.,Cao Y. G.,Liu G. W.,et al. A novel approach for shaken image deblurring[J]. International Journal of Signal Processing, Image Processing and Pattern Recognition,2014,7(2):85-98.
APA	Nguyen Q. T.,Cao Y. G.,Liu G. W.,Minh N. P.,&Le V. N..(2014).A novel approach for shaken image deblurring.International Journal of Signal Processing, Image Processing and Pattern Recognition,7(2),85-98.
MLA	Nguyen Q. T.,et al."A novel approach for shaken image deblurring".International Journal of Signal Processing, Image Processing and Pattern Recognition 7.2(2014):85-98.

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