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HUE-PRESERVING PERCEPTUAL CONTRAST ENHANCEMENT
- Source :
- Internationnal Conference on Image Processing (ICIP), Internationnal Conference on Image Processing (ICIP), Jun 2016, Phoenix, United States, ICIP
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- International audience; This paper proposes a novel model for contrast enhancement of RGB images. The average local contrast measure is increased within a variational framework which preserves the hue of the original image by coupling the channels. The user is enabled to intuitively control the level of the contrast as well as the scale of the enhanced details. Moreover, our model avoids large modifications of the original image his-togram and thereby preserves the global illumination of the scene. The minimizer of the proposed functional is computed by a hybrid primal-dual algorithm. Numerical experiments show the reliability of the proposed approach in comparison with state-of-the-art methods.
- Subjects :
- Color histogram
Contrast enhancement
Global illumination
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
variational methods
02 engineering and technology
01 natural sciences
Grayscale
010309 optics
Kernel (image processing)
color correction
Computer Science::Computer Vision and Pattern Recognition
Histogram
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
RGB color model
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Image histogram
Mathematics
Hue
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Internationnal Conference on Image Processing (ICIP), Internationnal Conference on Image Processing (ICIP), Jun 2016, Phoenix, United States, ICIP
- Accession number :
- edsair.doi.dedup.....8a02015ad9a9ef21f00340de1fc1b9f2