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Edge based contrast measure for Image enhancement quality assessment

version 1.0.0.0 (1.2 KB) by Shashi
Edge based contrast measure for measuring image enhancement quality

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Updated 28 Feb 2012

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It is a known fact that human beings are more sensitive to edges (contours). It is expected that an enhanced image should have more edge pixels than the original image and this parameter of EBCM does measure the intensity of edge pixels in small windows of the image.

Ref: A. Beghdadi and A. L. Negrate, “Contrast enhancement technique based on local detection of edges,” Comput. Vis. Graph. Image Process., vol. 46, no. 2, pp. 162–174, May 1989.

The easier representation of the below algorithm is also presented in page no. 7/9 of this paper. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5957283&tag=1

Cite As

Shashi (2020). Edge based contrast measure for Image enhancement quality assessment (https://www.mathworks.com/matlabcentral/fileexchange/35365-edge-based-contrast-measure-for-image-enhancement-quality-assessment), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (8)

Yuzhen Lu

No sufficient explanation for the codes

yu shunyuan

verygoog

arjun j

original image

ali elshaar

what I_prop1 is it the original imge or image histogram or the propability density function ??

Lintao

Lintao

karthik kesavan

karthik kesavan

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
Windows macOS Linux