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Journal of Electronic Imaging • new

Robust image reconstruction enhancement based on Gaussian mixture model estimation
Author(s): Fan Zhao; Jian Zhao; Xizhen Han; He Wang; Bochao Liu
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Paper Abstract

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.

Paper Details

Date Published: 16 March 2016
PDF: 12 pages
J. Electron. Imaging. 25(2) 023007 doi: 10.1117/1.JEI.25.2.023007
Published in: Journal of Electronic Imaging Volume 25, Issue 2
Show Author Affiliations
Fan Zhao, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Univ. of Chinese Academy of Sciences (China)
Jian Zhao, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Xizhen Han, Changchun Institute of Optics, Fine Mechanics and Physics (China)
He Wang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Bochao Liu, Changchun Institute of Optics, Fine Mechanics and Physics (China)


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