Computationally Efficient Digital Image Forensic Method for Image Authentication

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• 作者：Anil Dada Warbhe^a ; ^{mtech2008@rediffmail.com" class="auth_mail" title="E-mail the corresponding author} ; R.V. Dharaskar^b ; V.M. Thakare^c
• 关键词：Digital Image Forensics ; Image Forgery Detection ; Image Tampering ; Image Authentication.
• 刊名：Procedia Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：78
• 期：Complete
• 页码：464-470
• 全文大小：337 K

文摘

The issue of the authenticity and integrity of digital images is getting critical. Nowadays it became easy to create image forgeries. Digital image forensics plays a vital role in proving authenticity and integrity of digital images. There are various types of image forgeries possible, and Copy-Paste is one of it. In this type of forgery, a region of an image is copied and afterward pasted to another part of the same picture. In this paper, we propose an effective and computationally efficient method for the detection of Copy-Paste forgery. The proposed forgery detection is based on a customized Normalized Cross Correlation (NCC). The experimental results show that the proposed approach can be effectively used to detect forgeries accurately and is robust to affine transform to a certain extent.