An Image Forgery Detection Approach Based on Camera's Intrinsic Noise Properties

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Author(s): Shikha Gautam (GLA University, Mathura, India)and Anand Singh Jalal (Institute of Engineering and Technology, GLA University, Mathura, India)
Copyright: 2020
Pages: 11
Source title: Digital Forensics and Forensic Investigations: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-3025-2.ch008

Keywords: Criminal Science and Forensics / Digital Crime & Forensics / Information Science Reference / Security & Forensics

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Abstract

Digital images are found everywhere from cell phones to the pages of online news sites. With the rapid growth of the Internet and the popularity of digital image capturing devices, images have become major source of information. Now-a-days fudge of images has become easy due to powerful advanced photo-editing software and high-resolution cameras. In this article, the authors present a method for detecting forgery, which is detected by estimating camera's intrinsic noise properties. Differences in noise parameters of the image are used as evidence of Image tampering. The method works in two steps. In the first step, the given image is classified as forge or non-forge. In the second step, the forged region in the image is detected. Results show that the proposed method outperforms the previous methods and shows a detection accuracy of 85.76%.

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An Image Forgery Detection Approach Based on Camera's Intrinsic Noise Properties

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