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Enhancement of dark images using dynamic stochastic resonance with anisotropic diffusion

[+] Author Affiliations
Nidhi Gupta

PDPM Indian Institute of Information Technology, Computer Science and Engineering Discipline, Design and Manufacturing Jabalpur, Dumna Airport Road, P.O. Khamaria, Jabalpur 482 005, Madhya Pradesh, India

Rajib Kumar Jha

Indian Institute of Technology Patna, Department of Electrical Engineering, Patna, Bihar 801103, India

J. Electron. Imaging. 25(2), 023017 (Apr 12, 2016). doi:10.1117/1.JEI.25.2.023017
History: Received December 7, 2015; Accepted March 15, 2016
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Abstract.  Image enhancement techniques are intended to improve the quality of an image without any kind of distortion or degradation. The literature is rich enough in this area, but there also exist some limitations. A technique is proposed for image enhancement by combining anisotropic diffusion with dynamic stochastic resonance in discrete wavelet transform domain. The method increases mean and variance of the image by the optimum iterations on low coefficients of images, which improves contrast and brightness, respectively, and simultaneously, edges also become sharper. It is well demonstrated by performing on various test images. Specifically, the adaptation and efficiency of the proposed technique for medical images are shown, because generally medical images appear contaminated with noise in terms of low illumination.

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Citation

Nidhi Gupta and Rajib Kumar Jha
"Enhancement of dark images using dynamic stochastic resonance with anisotropic diffusion", J. Electron. Imaging. 25(2), 023017 (Apr 12, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.2.023017


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