scholarly journals Dynamic Stochastic Resonance for Low Contrast Image Enhancement

2014 ◽  
Vol 4 (4) ◽  
pp. 01-05
Author(s):  
Malvika T. Deole ◽  
Keyword(s):  
Image Enhancement ◽  
Stochastic Resonance ◽  
Low Contrast ◽  
Dynamic Stochastic Resonance ◽  
Dynamic Stochastic ◽  
Contrast Image

Enhancement of dark and low-contrast images using dynamic stochastic resonance

2013 ◽  
Vol 7 (2) ◽  
pp. 174-184 ◽  
Author(s):  
Rajlaxmi Chouhan ◽  
Rajib Kumar Jha ◽  
Prabir Kumar Biswas
Keyword(s):  
Stochastic Resonance ◽  
Low Contrast ◽  
Dynamic Stochastic Resonance ◽  
Dynamic Stochastic

scholarly journals Dark and low-contrast image enhancement using dynamic stochastic resonance in discrete cosine transform domain

2013 ◽  
Vol 2 ◽  
Author(s):  
Rajib Kumar Jha ◽  
Rajlaxmi Chouhan ◽  
Kiyoharu Aizawa ◽  
Prabir Kumar Biswas
Keyword(s):  
Stochastic Resonance ◽  
Discrete Cosine Transform ◽  
Enhancement Factor ◽  
Perceptual Quality ◽  
Cosine Transform ◽  
Low Contrast ◽  
Multi Scale ◽  
Dynamic Stochastic Resonance ◽  
Dynamic Stochastic ◽  
Color Enhancement

A novel technique based on dynamic stochastic resonance (DSR) in discrete cosine transform (DCT) domain has been proposed in this paper for the enhancement of dark as well as low-contrast images. In conventional DSR-based techniques, the performance of a system can be improved by addition of external noise. However, in the proposed DSR-based work, the intrinsic noise of an image has been utilized to create a noise-induced transition of a dark image to a state of good contrast. The proposed technique significantly enhances the image contrast and color information without losing any image or color data by optimization of bistable system parameters. The performance of the proposed methodology has been measured in terms of relative contrast enhancement factor, perceptual quality measure, and color enhancement factor. When compared with the existing enhancement techniques, such as adaptive histogram equalization, gamma correction, single-scale retinex, multi-scale retinex, modified high-pass filtering, multicontrast enhancement with dynamic range compression, color enhancement by scaling, edge-preserving multi-scale decomposition, automatic control of imaging tool, and various spatial/frequency-domain SR-based techniques, the proposed technique gives remarkable performance in terms of contrast and color enhancement while ascertaining good perceptual quality.

Research on low contrast image enhancement technology

2021 ◽  
Author(s):  
Jiale Yao ◽  
Xiangsuo Fan ◽  
Yixun Chen ◽  
Wuchao Li
Keyword(s):  
Image Enhancement ◽  
Low Contrast ◽  
Enhancement Technology ◽  
Contrast Image
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