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Revealing Image Forgery on Digital Images by applying Contrast Enhancement

by Sonu John Jacob, Krishnalal G., Jagathy Raj V.P.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 127 - Number 15
Year of Publication: 2015
Authors: Sonu John Jacob, Krishnalal G., Jagathy Raj V.P.
10.5120/ijca2015906675

Sonu John Jacob, Krishnalal G., Jagathy Raj V.P. . Revealing Image Forgery on Digital Images by applying Contrast Enhancement. International Journal of Computer Applications. 127, 15 ( October 2015), 32-36. DOI=10.5120/ijca2015906675

@article{ 10.5120/ijca2015906675,
author = { Sonu John Jacob, Krishnalal G., Jagathy Raj V.P. },
title = { Revealing Image Forgery on Digital Images by applying Contrast Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 127 },
number = { 15 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume127/number15/22808-2015906675/ },
doi = { 10.5120/ijca2015906675 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:18:36.580149+05:30
%A Sonu John Jacob
%A Krishnalal G.
%A Jagathy Raj V.P.
%T Revealing Image Forgery on Digital Images by applying Contrast Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 127
%N 15
%P 32-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image manipulation is a malicious threat that is occurring nowadays. The trustworthiness of images is lost. Malicious users have many photo editing software's to manipulate images in many ways such as brightness changes, contrast manipulations and creating composite images. Here in this, it proposes two novel methods to detect contrast manipulations and composite images. First, it detects the manipulation of images by identifying the image's block level histogram. Second, we propose to identify the manipulation occurring in the images using a high frequency metric method. Once both the methods outputs are obtained it combines the outputs to obtain a final output. Finally it will be able to detect the manipulation that has occurred to the image. Results are summarized at the end and our system is compared with methods used.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Forgery Image Manipulation Brightness Peak Gap Gamma Correction

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