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Histogram Equalization Tool: Brightness Preservation and Contrast Enhancement using Segmentation with Opening-by-Reconstruction

by Ramandeep Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 2
Year of Publication: 2015
Authors: Ramandeep Kaur
10.5120/19509-1126

Ramandeep Kaur . Histogram Equalization Tool: Brightness Preservation and Contrast Enhancement using Segmentation with Opening-by-Reconstruction. International Journal of Computer Applications. 111, 2 ( February 2015), 11-23. DOI=10.5120/19509-1126

@article{ 10.5120/19509-1126,
author = { Ramandeep Kaur },
title = { Histogram Equalization Tool: Brightness Preservation and Contrast Enhancement using Segmentation with Opening-by-Reconstruction },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 2 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 11-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number2/19509-1126/ },
doi = { 10.5120/19509-1126 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:48.160291+05:30
%A Ramandeep Kaur
%T Histogram Equalization Tool: Brightness Preservation and Contrast Enhancement using Segmentation with Opening-by-Reconstruction
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 2
%P 11-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sundry improvement plans are used for improving a picture which incorporates ash scale control, sifting and Histogram Equalization (HE). The issue with pictures is that, their quality depends upon a number of different variables like lighting in the picture catching area, commotion and capability of the administrator. The writing addresses the verbalized issue widely and presents answers for them. Contrast improvement systems are used for correcting visual nature of low difference pictures. Histogram Equalization (HE) is one such procedure used for difference upgrade. The proposed illustrations have a few shared traits in their procedures. Approximately every one of them is at fluctuation either in histogram leveling strategies or in picture quality estimation instruments. An instrument is lost in the writing that is proficient to improve the picture and even perform the examination. In this paper, a GUI apparatus is composed which is coupled with different procedures of picture improvement through histogram balance. Opening-by-recreation is a standout amongst the most effective picture division strategy is used to attain to the craved results. To assess the adequacy of the delineated systems; PSNR, Tenengrad, and Absolute Mean Brightness mistake (AMBE) are used as parameters. The results are decently backed by the parameter estimations toward the end.

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Index Terms

Computer Science
Information Sciences

Keywords

Contrast Enhancement Brightness Preservation Foreground Enhancement Histogram Equalization Quality Measures Cumulative Density Function.

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