Open Access
ARTICLE
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. https://doi.org/10.31209/2018.100000001
Abstract
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).
Keywords
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. https://doi.org/10.31209/2018.100000001