A passive technique for detecting copy-move forgery with rotation based on polar complex exponential transform

Mahmoud Emam; Qi Han; Liyang Yu; Ye Zhang; Xiamu Niu

doi:10.1117/12.2196997

6 July 2015 A passive technique for detecting copy-move forgery with rotation based on polar complex exponential transform

Mahmoud Emam, Qi Han, Liyang Yu, Ye Zhang, Xiamu Niu

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Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 963104 (2015) https://doi.org/10.1117/12.2196997
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

Abstract

Copy-move is one of the most common methods for image manipulation. Several methods have been proposed to detect and locate the tampered regions, while many methods failed when the copied regions are rotated before being pasted. A rotational invariant detecting method using Polar Complex Exponential Transform (PCET) is proposed in this paper. Firstly, the original image is divided into overlapping circular blocks, and PCET is employed to each block to extract the rotation-invariant robust features. Secondly, the Approximate Nearest Neighbors (ANN) of each feature vector are collected by Locality Sensitive Hashing (LSH). Experimental results show that the proposed technique is robust to rotation.

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Mahmoud Emam, Qi Han, Liyang Yu, Ye Zhang, and Xiamu Niu "A passive technique for detecting copy-move forgery with rotation based on polar complex exponential transform", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963104 (6 July 2015); https://doi.org/10.1117/12.2196997

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KEYWORDS

Detection and tracking algorithms

Digital imaging

Image filtering

Binary data

Image analysis

Image forensics

Linear filtering

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