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Contrast Enhancement in Gray Level Images

Duha Sultan et al · University of Mosul, College of Education for Pure Science · 2019

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Author / responsible party
Duha Sultan et al
Publisher
University of Mosul, College of Education for Pure Science
Year
2019
ISSN
1812-125X
ISSN
1812-125X
Language
English
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Contrast enhancement is a very important step in image processing, pattern recognition and computer vision .Histogram Equalization (HE) is widely used for contrast Enhancement . This paper discussed five techniques of contrast enhancement, i.e. Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Brightness preserving Bi_Histogram Equalization (BBHE), Dualistic Sub_Image Histogram Equalization (DSIHE) and Recursive Sub_Image Histogram equalization (RSIHE). Also it presented the comparison among the various techniques that show the image enhances the overall contrast and visibility of local details, by using two measures: Peak-Signal-to-Noise-Ratio (PSNR) and Absolute Mean Brightness Error (AMBE) to check the signal and brightness power respectively. This work is programmed by MATLAB VER.7.8.<br />

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APA 7

al, D. S. E. (2019). Contrast Enhancement in Gray Level Images. https://doi.org/10.33899/edusj.2019.161214

MLA

al, Duha Sultan et. "Contrast Enhancement in Gray Level Images." 2019. https://doi.org/10.33899/edusj.2019.161214.

Chicago

al, Duha Sultan et. 2019. "Contrast Enhancement in Gray Level Images.". https://doi.org/10.33899/edusj.2019.161214.

Harvard

al, D. S. E. 2019, Contrast Enhancement in Gray Level Images, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2019.161214 [Accessed 7 Aug. 2026].

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Title
Contrast Enhancement in Gray Level Images
Author / contributors
Duha Sultan et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2019
ISSN
1812-125X
ISSN
1812-125X
Language
English

Subjects

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: histogram equalization; contrast enhancement; he; clahe; bbhe; dsihe; rsihe
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