Robust image reconstruction enhancement based on Gaussian mixture model estimation

被引：1

作者：

Zhao, Fan ^{[1
,2
]}

Zhao, Jian ^{[1
]}

Han, Xizhen ^{[1
]}

Wang, He ^{[1
]}

Liu, Bochao ^{[1
]}

机构：

[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, 88 Yingkou St, Changchun 130033, Peoples R China

[2] Univ Chinese Acad Sci, 19 Yuquan St, Beijing 100049, Peoples R China

来源：

JOURNAL OF ELECTRONIC IMAGING | 2016年 / 25卷 / 02期

关键词：

image reconstruction enhancement; Gaussian mixture mode; matrix sine transform; CONTRAST ENHANCEMENT; HISTOGRAM;

D O I：

10.1117/1.JEI.25.2.023007

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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

引用

页数：12

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