Enhancement of dark images using dynamic stochastic resonance with anisotropic diffusion

Nidhi Gupta; Rajib K. Jha

doi:10.1117/1.JEI.25.2.023017

12 April 2016 Enhancement of dark images using dynamic stochastic resonance with anisotropic diffusion

Nidhi Gupta, Rajib K. Jha

Author Affiliations +

Journal of Electronic Imaging, Vol. 25, Issue 2, 023017 (April 2016). https://doi.org/10.1117/1.JEI.25.2.023017

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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Nidhi Gupta and Rajib K. Jha "Enhancement of dark images using dynamic stochastic resonance with anisotropic diffusion," Journal of Electronic Imaging 25(2), 023017 (12 April 2016). https://doi.org/10.1117/1.JEI.25.2.023017

Published: 12 April 2016

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