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IEM: A New Image Enhancement Metric for Contrast and Sharpness Measurements

by Jaya V. L, R. Gopikakumari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 9
Year of Publication: 2013
Authors: Jaya V. L, R. Gopikakumari
10.5120/13766-1620

Jaya V. L, R. Gopikakumari . IEM: A New Image Enhancement Metric for Contrast and Sharpness Measurements. International Journal of Computer Applications. 79, 9 ( October 2013), 1-9. DOI=10.5120/13766-1620

@article{ 10.5120/13766-1620,
author = { Jaya V. L, R. Gopikakumari },
title = { IEM: A New Image Enhancement Metric for Contrast and Sharpness Measurements },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 9 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number9/13766-1620/ },
doi = { 10.5120/13766-1620 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:32.273206+05:30
%A Jaya V. L
%A R. Gopikakumari
%T IEM: A New Image Enhancement Metric for Contrast and Sharpness Measurements
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 9
%P 1-9
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Evaluation of images, after processing, is an important step for determining how well the images are being processed. Quality of image is usually assessed using image quality metrics. Unfortunately, most of the commonly used metrics cannot adequately describe the visual quality of the enhanced image. There is no universal measure, which specifies both the objective and subjective validity of the enhancement for all types of images. This paper is a study of the various quantitative metrics for enhancement against changes in contrast and sharpness of both general and medical images. A new metric is proposed that is useful for measuring the improvement in contrast as well as sharpness. It is computationally simple and can be used for all types of images.

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Index Terms

Computer Science
Information Sciences

Keywords

Image enhancement Image Quality Assessment(IQA) Full reference metric Blind reference metric Human Visual System(HVS) Image Enhancement Metric(IEM).

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