Region Duplication Tampering Detection and Localization in digital video using Haar Wavelet Transform

Abstract In today’s digital world because of the widespread availability of software tools and advancement in technology created a way for editing or modifying digital data. Availability of low cost software tools such as Adobe Premiere, Magix Vegas, Mokey by Imagineer Systems and Microsoft Movie Maker made it very easy to manipulate video content effectively. Altering the contents of digital videos became very easy because of these powerful video editing software. Video editing software is often used to copy and paste a portion of the frame from one region to another region in the same frame or another frame, in order to conceal the truth. Region duplication is one of the most common methods of video tampering. Many methodologies have been discussed by different researches to detect such tampering in digital video sequences by analyzing the spatial and temporal correlations between the pixels of the frame. However, most of the algorithms exhibit low accuracy and high computational complexity. In this paper, we are introducing a novel region duplication tampering detection technique to detect intra frame region duplication from the video sequence by means of wavelet transform and Euclidean distance. The proposed technique is evaluated using various videos where region duplication in frames introduced. From the experimental results performance of the proposed technique is evaluated in terms Precision, Recall, F1, Accuracy and computation 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.