Title
Internal noise-induced contrast enhancement of dark images
Abstract
A contrast enhancement technique using scaling of internal noise of a dark image in discrete cosine transform (DCT) domain has been proposed in this paper. The mechanism of enhancement is attributed to noise-induced transition of DCT coefficients from a poor state to an enhanced state. This transition is effected by the internal noise present due to lack of sufficient illumination and can be modeled by a general bistable system exhibiting dynamic stochastic resonance. The proposed technique adopts a local adaptive processing and significantly enhances the image contrast and color information while ascertaining good perceptual quality. When compared with the existing enhancement techniques such as adaptive histogram equalization, gamma correction, single-scale retinex, multi-scale retinex, modified high-pass filtering, multi-contrast enhancement, multi-contrast enhancement with dynamic range compression, color enhancement by scaling, edge-preserving multi-scale decomposition and automatic controls of popular imaging tool, the proposed technique gives remarkable performance in terms of relative contrast enhancement, colorfulness and visual quality of enhanced image.
Year
DOI
Venue
2012
10.1109/ICIP.2012.6467024
Image Processing
Keywords
Field
DocType
discrete cosine transforms,image colour analysis,image enhancement,lighting,stochastic processes,visual perception,DCT domain,bistable system,color information,colorfulness,discrete cosine transform domain,dynamic stochastic resonance,illumination,internal noise scaling,internal noise-induced contrast dark image enhancement,local adaptive processing,noise-induced DCT coefficient transition,perceptual quality,visual quality,Contrast enhancement,bistable system,double well parameters,dynamic stochastic resonance
Computer vision,Color constancy,Colorfulness,Pattern recognition,Computer science,Discrete cosine transform,Filter (signal processing),Adaptive histogram equalization,Artificial intelligence,Stochastic resonance,Gamma correction,Shadow and highlight enhancement
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4673-2532-5
978-1-4673-2532-5
8
PageRank 
References 
Authors
0.50
10
4
Name
Order
Citations
PageRank
Rajib Kumar Jha180.84
Rajlaxmi Chouhan280.50
Prabir Kumar Biswas381.18
Kiyoharu Aizawa41836292.43