Semi-Fragile Watermarking with Tamper Localization and Recovery using AMBTC Method
Shaik Hedayath Basha1, Vinodh Kumar R2, Teekaaram V3, Vishnu N4, Kamalesh R5
1Shaik Hedayath Basha*, Electronics and Communication Department, R.M.K. College of Engineering and Technology, Chennai, India.
2Vinodh Kumar R, Electronics and Communication department, R.M.K. College of Engineering and Technology, Chennai, India.
3Teekaaram V, Electronics and Communication department, R.M.K. College of Engineering and Technology, Chennai, India.
4Vishnu N, Electronics and Communication department, R.M.K. College of Engineering and Technology, Chennai, India,
5Kamalesh R, Electronics and Communication department, R.M.K. College of Engineering and Technology, Chennai, India
Manuscript received on May 01, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 54-59 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9263069520/2020©BEIESP | DOI: 10.35940/ijeat.E9263.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The watermarking scheme in digital media communication has become an essential tool in helping content creators prove ownership if any dispute arises in copyright infringement. In this paper, Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) is performed in the watermarking process which improves the authentication of the image and the detection of the tampered region. The semi-fragile watermarking scheme provides robustness to the watermark during extraction process even after the unintentional compression attacks like JPEG compression. The watermark payload is significantly lowered in order to increase the quality of the image. The recovery is done using the absolute moment block truncation coding (AMBTC) of the image in the untampered region. Thus, both the mean and first absolute moment are used in recovering the tampered regions in the watermarked image.
Keywords: Watermarking, Discrete Wavelet Transformation, Singular Value Decomposition (SVD), Tampering, AMBTC, Peak signal-to-noise ratio (PSNR).