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Region Duplication Tampering Detection and Localization in Digital Video Using Haar Wavelet Transform

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Abstract

The extensive availability of software tools and technological advancements have made it possible to alter or modify digital data in today's digital environment. It was fairly simple to properly manipulate video content thanks to the accessibility of inexpensive software products like Adobe Premiere, Magix Vegas, Mokey by Imagineer Systems, and Microsoft Movie Maker. Thanks to these sophisticated video editing programmes, changing the contents of digital videos has become very simple. In order to hide the truth, video editing software is frequently used to copy and paste a section of the frame from one location to another region in the same frame or another frame. One of the most popular techniques for manipulating with videos is region duplication. By examining the spatial and temporal correlations between the frame's pixels, numerous approaches to identify such tampering in digital video sequences have been presented by various researchers. Nevertheless, majority of the algorithms have significant computational cost and low accuracy. In this research, we present a novel region duplication tampering detection method that uses wavelet transform and Euclidean distance to identify intra frame region duplication in a video sequence. The proposed method is assessed using a variety of video sequences where region duplication in frames introduced. Performance of the suggested technique is evaluated based on experimental findings in terms of Precision, Recall, F1, Accuracy, and calculation time. Our experimental results proved that this method is highly suitable for detecting the duplicated regions in the video which is very much useful in forensic applications.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Tamil Nadu, 600062, India

    J. Nirmal Jothi

  2. Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Tamil Nadu, 600062, India

    Ezhil E. Nithila

  3. Department of Electronics and Communication Engineering, R.V.R and J.C College of Engineering, Guntur, Andhra Pradesh, 522019, India

    X. Ascar Davix

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Jothi, J.N., Nithila, E.E. & Davix, X.A. Region Duplication Tampering Detection and Localization in Digital Video Using Haar Wavelet Transform. Wireless Pers Commun 135, 655–674 (2024). https://doi.org/10.1007/s11277-024-11028-z

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