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Reseach Article

DCT based Forgery Detection Technique in Digital Images

Published on July 2016 by Reshma R. Chaudhari, Nutan C. Malekar, Meena B. Vallakari, Kushal Suvarna
National Conference on Role of Engineers in National Building
Foundation of Computer Science USA
NCRENB2016 - Number 3
July 2016
Authors: Reshma R. Chaudhari, Nutan C. Malekar, Meena B. Vallakari, Kushal Suvarna
c577387b-e5c7-4693-84a2-9e4350348793

Reshma R. Chaudhari, Nutan C. Malekar, Meena B. Vallakari, Kushal Suvarna . DCT based Forgery Detection Technique in Digital Images. National Conference on Role of Engineers in National Building. NCRENB2016, 3 (July 2016), 20-22.

@article{
author = { Reshma R. Chaudhari, Nutan C. Malekar, Meena B. Vallakari, Kushal Suvarna },
title = { DCT based Forgery Detection Technique in Digital Images },
journal = { National Conference on Role of Engineers in National Building },
issue_date = { July 2016 },
volume = { NCRENB2016 },
number = { 3 },
month = { July },
year = { 2016 },
issn = 0975-8887,
pages = { 20-22 },
numpages = 3,
url = { /proceedings/ncrenb2016/number3/25568-4058/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Role of Engineers in National Building
%A Reshma R. Chaudhari
%A Nutan C. Malekar
%A Meena B. Vallakari
%A Kushal Suvarna
%T DCT based Forgery Detection Technique in Digital Images
%J National Conference on Role of Engineers in National Building
%@ 0975-8887
%V NCRENB2016
%N 3
%P 20-22
%D 2016
%I International Journal of Computer Applications
Abstract

Now a day's images are tampered easily because availability of powerful image processing software and improvement of human computer knowledge. Manipulation of digital images in different fields like court of law and medical imaging create a serious problem nowadays. With rapid advances in digital image processing software, there is a widespread development of advanced tools and techniques for digital image forgery. The most common types of forgery is Copy-move forgery which copies some part of the image and pastes it to another part of the same image to cover an important scene. In this paper, the proposed method to detect Copy-Move forgery is by matching the mean and DCT low frequency coefficient components of each block with remaining all blocks. The color image is converted from RGB color space to YCbCr color space. Y-component is partitions into fixed-size overlapping blocks and, features are extracted from each image blocks. The feature vectors obtained are then lexicographically sorted to make similar image blocks neighbors and duplicated image blocks are identified using Euclidean distance as similarity criterion. The experimental results prove that the proposed method works on reasonable time and works well for gray scale and color images. In this method by using the comparison of mean value and sorting technique helps to reduced the computational complexity.

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Index Terms

Computer Science
Information Sciences

Keywords

Copy Move Detection Image Forgery Discrete Cosine Transform Image Tempering Duplication Of Region.