Multimedia Tools and Applications

, Volume 77, Issue 20, pp 26919–26938 | Cite as

Image contrast enhancement using unsharp masking and histogram equalization

  • Shubhi KansalEmail author
  • Shikha Purwar
  • Rajiv Kumar Tripathi


Contrast enhancement and Mean brightness conservation are two important parameters of image enhancement. A high contrast image is good in subjective quality assessment but also high contrast may cause over or under enhancement in the enhanced image. In this paper a new unsharp mask filtering technique with the combination of histogram equalization is used for the general-purpose images which maximizes the entropy of the image as well as controls the over and under enhancement by clipping the histogram of the image. After rigorous experimentation on standard data-set, it is observed that the information present in the image is highest in the proposed method i.e. the entropy value is highest and the mean brightness is also comparable with the other histogram based image enhancement methods. Mean opinion score(MOS) result shows that visual quality of the image is also better than existing methods.


Unsharp masking Sharpening Clipping 



This work was supported by Dept. of Electronics and Communication Engineering, NIT Delhi


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.National Institute of TechnologyDelhiIndia

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