Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution

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 ima...

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Vydáno v:IEEE transactions on image processing Ročník 22; číslo 3; s. 1032 - 1041
Hlavní autoři: Huang, Shih-Chia, Cheng, Fan-Chieh, Chiu, Yi-Sheng
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.03.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Applied sciences
Artificial intelligence
Brightness
Computer science; control theory; systems
Contrast enhancement
Data Interpretation, Statistical
Detection, estimation, filtering, equalization, prediction
Digital
Digital images
Entropy
Equations
Exact sciences and technology
gamma correction
histogram equalization
histogram modification
Histograms
Image color analysis
Image contrast
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image processing
Information, signal and communications theory
Luminance
Mathematical model
Pattern recognition
Pattern recognition. Digital image processing. Computational geometry
Reproducibility of Results
Sensitivity and Specificity
Signal and communications theory
Signal processing
Signal, noise
State of the art
Statistical Distributions
Telecommunications and information theory
Transformations
Video Recording - methods
Computer vision
State of the art
Histogram
gamma correction
Probabilistic approach
Image processing
Brightness
histogram equalization
Probability distribution
Digital image
Pattern recognition
Equalization
Computational complexity
Image method
Image quality
Luminance
Weighting
histogram modification
Contrast enhancement
Image enhancement
ISSN:1057-7149, 1941-0042, 1941-0042
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Popis
Shrnutí: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.
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2012.2226047