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Brightness and contrast controllable image enhancement based on histogram specification
- Source :
- Neurocomputing. 275:2798-2809
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Histogram based image enhancement techniques are widely used for performing contrast enhancement in images. However, most histogram based image enhancement methods have insufficient capability to freely tune the brightness and contrast of enhanced image. In this paper, two novel histogram based image enhancement algorithms are proposed. The proposed algorithms provide the way to control the brightness and contrast of enhanced image by adjusting two parameters. The principles for parameter selection are also discussed in this paper. Experimental results demonstrate a better performance of the proposed methods in both perceptual quality and image quality assessment metrics than the existing histogram based methods.
- Subjects :
- Brightness
business.industry
Computer science
Image quality
Cognitive Neuroscience
media_common.quotation_subject
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020207 software engineering
02 engineering and technology
Image enhancement
Computer Science Applications
Image (mathematics)
Artificial Intelligence
Computer Science::Computer Vision and Pattern Recognition
Histogram
0202 electrical engineering, electronic engineering, information engineering
Contrast (vision)
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
media_common
Subjects
Details
- ISSN :
- 09252312
- Volume :
- 275
- Database :
- OpenAIRE
- Journal :
- Neurocomputing
- Accession number :
- edsair.doi...........ca914c79f63b8517073c0160d07f2176