Detection of copy-move image forgery using SVD and cuckoo search algorithm

Author:

Kashyap Abhishek,Agarwal Megha,Gupta Hariom

Abstract

Copy-move Copy move forgery (CMF) is one of the straightforward strategies to create forged images. To detect this kind of forgery one of the widely used method is single value decomposition (SVD). Few methods based on SVD are most acceptable but some methods are less acceptable because these methods highly depend on those parameters value, which is manually selected depending upon the tampered images. For different images, we require different parameter values. In this paper, we have proposed a novel method, which uses both copy-move forgery detection using SVD and Cuckoo search (CS) algorithm. It utilizes Cuckoo search algorithm to generate customized parameter values for different tampered images, which are used in copy-move forgery detection (CMFD) under block based framework. 

Publisher

Science Publishing Corporation

Subject

Hardware and Architecture,General Engineering,General Chemical Engineering,Environmental Engineering,Computer Science (miscellaneous),Biotechnology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Survey on image copy-move forgery detection;Multimedia Tools and Applications;2023-08-18

2. Binary Pattern for Copy-Move Image Forgery Detection;Lecture Notes in Electrical Engineering;2023

3. Robust and accurate detection of image copy-move forgery using PCET-SVD and histogram of block similarity measures;Journal of Information Security and Applications;2020-10

4. New white blood cell detection technique by using singular value decomposition concept;Multimedia Tools and Applications;2020-09-30

5. Copy-Move Forgery Detection Methods: A Critique;Advances in Information Communication Technology and Computing;2020-08-19

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