Reducing Illumination Based on Nonlinear Gamma Correction

Illumination always affects image quality seriously in practice. To weaken illumination effect on image quality, this paper proposes an adaptive gamma correction method. First, a mapping between pixel and gamma values is built. The gamma values are then revised using two non-linear functions to prev...

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Bibliographic Details
Published in2007 IEEE International Conference on Image Processing Vol. 1; pp. I - 529 - I - 532
Main Authors Yihua Shi, Jinfeng Yang, Renbiao Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Adaptive signal processing
Color
Gamma correction
Histograms
Illumination
Image enhancement
Image quality
Layout
Lighting
Nonlinear distortion
Optical reflection
Pixel
Signal processing algorithms
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ISBN9781424414369
1424414369
ISSN1522-4880
DOI10.1109/ICIP.2007.4379008

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Summary:Illumination always affects image quality seriously in practice. To weaken illumination effect on image quality, this paper proposes an adaptive gamma correction method. First, a mapping between pixel and gamma values is built. The gamma values are then revised using two non-linear functions to prevent image distortion. Experimental results demonstrate that the proposed method performs better in readjusting image illumination condition and improving image quality.
ISBN:9781424414369
1424414369
ISSN:1522-4880
DOI:10.1109/ICIP.2007.4379008