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Balanced GHM Mutiwavelet Transform Based Contrast Enhancement Technique for Dark Images Using Dynamic Stochastic Resonance

S. Deivalakshmi*, P. Palanisamy1, X. Z. Gao2

*,1 Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli- 620015, Tamilnadu, India.
2 School of Computing, University of Eastern Finland, Kuopio, Finland

* Corresponding Author: S. Deivalakshmi,

Intelligent Automation & Soft Computing 2019, 25(3), 459-471.


The main aim of this paper is to propose a new technique for enhancing the contrast of dark images using Dynamic Stochastic Resonance (DSR) and Multi Wavelet Transform (MWT), which is computationally more efficient than the conventional methods. In the work, for enhancing the contrast of dark images, the intrinsic noise (darkness) of dark images has been used. The proposed MWT-based DSR scheme (MWT-DSR) can yield better performances in terms of visual information and color preservation than already reported techniques. The desired output response is validated by the Relative Contrast Enhancement Factor (F), Perceptual Quality Measures (PQM) and Color Enhancement Factor (CEF).


Cite This Article

S. Deivalakshmi, P. Palanisamy and X. Z. Gao, "Balanced ghm mutiwavelet transform based contrast enhancement technique for dark images using dynamic stochastic resonance," Intelligent Automation & Soft Computing, vol. 25, no.3, pp. 459–471, 2019.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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