Robust image reconstruction enhancement based on Gaussian mixture model estimation

	Robust image reconstruction enhancement based on Gaussian mixture model estimation
	Zhao, F.; J. Zhao; X. Z. Han; H. Wang and B. C. Liu
	2016
发表期刊	Journal of Electronic Imaging
卷号	25 期号:2
摘要	The low quality of an image is often characterized by low contrast and blurred edge details. Gradients have a direct relationship with image edge details. More specifically, the larger the gradients, the clearer the image details become. Robust image reconstruction enhancement based on Gaussian mixture model estimation is proposed here. First, image is transformed to its gradient domain, obtaining the gradient histogram. Second, the gradient histogram is estimated and extended using a Gaussian mixture model, and the predetermined function is constructed. Then, using histogram specification technology, the gradient field is enhanced with the constraint of the predetermined function. Finally, a matrix sine transform-based method is applied to reconstruct the enhanced image from the enhanced gradient field. Experimental results show that the proposed algorithm can effectively enhance different types of images such as medical image, aerial image, and visible image, providing high-quality image information for high-level processing. (C) 2016 SPIE and IS&T
文章类型	期刊
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/57464
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Zhao, F.,J. Zhao,X. Z. Han,et al. Robust image reconstruction enhancement based on Gaussian mixture model estimation[J]. Journal of Electronic Imaging,2016,25(2).
APA	Zhao, F.,J. Zhao,X. Z. Han,&H. Wang and B. C. Liu.(2016).Robust image reconstruction enhancement based on Gaussian mixture model estimation.Journal of Electronic Imaging,25(2).
MLA	Zhao, F.,et al."Robust image reconstruction enhancement based on Gaussian mixture model estimation".Journal of Electronic Imaging 25.2(2016).

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