title: Efficient contrast enhancement using adaptive gamma correction with weighting distribution.
abstract: This paper proposes an efficient method to modify histograms and enhance contrast in digital images. Enhancement plays a significant role in digital image processing, computer vision, and pattern recognition. We present an automatic transformation technique that improves the brightness of dimmed images via the gamma correction and probability distribution of luminance pixels. To enhance video, the proposed image-enhancement method uses temporal information regarding the differences between each frame to reduce computational complexity. Experimental results demonstrate that the proposed method produces enhanced images of comparable or higher quality than those produced using previous state-of-the-art methods.
authors.affiliation: Department of Electronic Engineering, National Taipei University of Technology, Taipei 106, Taiwan. schuang@ntut.edu.tw
authors.forename: Shih-Chia
authors.initials: SC
authors.lastname: Huang
authors.forename: Fan-Chieh
authors.initials: FC
authors.lastname: Cheng
authors.forename: Yi-Sheng
authors.initials: YS
authors.lastname: Chiu
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003627:Data Interpretation, Statistical; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016008:Statistical Distributions; D014741:Video Recording / Q000379:methods*