Adaptive histogram equalization based on modified probability density function and expected value of image intensity

Most of the adaptive histogram equalization methods enhanced the image locally instead of global enhancement. In this paper, a global enhancement method is proposed which is based on modified probability density function and expected value of image intensity. Adaptiveness is introduced here in the f...

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Bibliographic Details
Published in:Signal, image and video processing image and video processing, 2020-02, Vol.14 (1), p.9-17
Main Authors: Sirajuddeen, C. K., Kansal, Shubhi, Tripathi, Rajiv Kumar
Format: Article
Language:English
Subjects:
Computer Imaging
Computer Science
Display devices
Economic models
Equalization
Expected values
Histograms
Image enhancement
Image Processing and Computer Vision
Multimedia Information Systems
Original Paper
Pattern Recognition and Graphics
Probability density functions
Signal,Image and Speech Processing
Vision
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Summary:Most of the adaptive histogram equalization methods enhanced the image locally instead of global enhancement. In this paper, a global enhancement method is proposed which is based on modified probability density function and expected value of image intensity. Adaptiveness is introduced here in the form of expected value of image intensity. This method can be very well utilized in all the display devices. The proposed method is compared with the state-of the-art other contrast enhancement techniques. Experimental results show that the proposed method surpasses the other techniques both quantitatively and qualitatively.
ISSN:1863-1703
1863-1711
DOI:10.1007/s11760-019-01516-2