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

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Abstract

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.

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Authors and Affiliations

  1. National Institute of Technology, Delhi, New Delhi, 110040, India

    C. K. Sirajuddeen, Shubhi Kansal & Rajiv Kumar Tripathi

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  1. C. K. Sirajuddeen
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  2. Shubhi Kansal
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  3. Rajiv Kumar Tripathi
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Correspondence to Shubhi Kansal.

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Sirajuddeen, C.K., Kansal, S. & Tripathi, R.K. Adaptive histogram equalization based on modified probability density function and expected value of image intensity. SIViP 14, 9–17 (2020). https://doi.org/10.1007/s11760-019-01516-2

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  • DOI: https://doi.org/10.1007/s11760-019-01516-2

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