@Article{2018.100000001,
AUTHOR = {S. Deivalakshmi, P. Palanisamy, X. Z. Gao},
TITLE = {Balanced GHM Mutiwavelet Transform Based Contrast Enhancement  Technique for Dark Images Using Dynamic Stochastic Resonance},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {3},
PAGES = {459--471},
URL = {http://www.techscience.com/iasc/v25n3/39672},
ISSN = {2326-005X},
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).},
DOI = {10.31209/2018.100000001}
}