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Image Processing Techniques for Contrast Enhancement with Poor Lighting on Social and Medical Images

by Akshay Vartak, Vijay Mankar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 123 - Number 9
Year of Publication: 2015
Authors: Akshay Vartak, Vijay Mankar
10.5120/ijca2015905643

Akshay Vartak, Vijay Mankar . Image Processing Techniques for Contrast Enhancement with Poor Lighting on Social and Medical Images. International Journal of Computer Applications. 123, 9 ( August 2015), 49-55. DOI=10.5120/ijca2015905643

@article{ 10.5120/ijca2015905643,
author = { Akshay Vartak, Vijay Mankar },
title = { Image Processing Techniques for Contrast Enhancement with Poor Lighting on Social and Medical Images },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 123 },
number = { 9 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 49-55 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume123/number9/21991-2015905643/ },
doi = { 10.5120/ijca2015905643 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:12:17.679790+05:30
%A Akshay Vartak
%A Vijay Mankar
%T Image Processing Techniques for Contrast Enhancement with Poor Lighting on Social and Medical Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 123
%N 9
%P 49-55
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image enhancement is a technique that increases the visual contrast in a designated intensity range. Contrast is an act of distinguishing by comparing differences. Morphological transformation and block analysis are used to detect the background of various social and medical images. Opening by reconstruction method of contrast image transformation can be defined by two operators - opening and closing. The first operator makes use of the information from block analysis, while the second transformation utilizes the opening by reconstruction. The Later is used to define the multi background notion. The complete image processing is being implemented using JAVA simulation model. Quality of image enhancement is assessed by different techniques. In this paper, High performance Computational techniques involving contrast enhancement and noise filtering on various medical , social images are developed using Weber’s law. Image quality assessment is compared by different techniques. The values of all the quality assessment parameters are found to be in the standard expected ranges thereby confirming the enhancement of quality of images.

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Index Terms

Computer Science
Information Sciences

Keywords

Morphological transformation morphological reconstruction contrast enhancement Weber’s law Quality assessment.

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