Open AccessSemi Fragile Watermarking with Tamper Localization and Recovery using AMBTC Method
Author(s) -
Shaik Hedayath Basha,
Vice-Chancellor Dr. Venugopal K R,
V Teekaaram,
N.S. Vishnu,
R Kamalesh
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e9263.069520
Subject(s) - digital watermarking , watermark , computer science , block truncation coding , singular value decomposition , artificial intelligence , payload (computing) , computer vision , robustness (evolution) , discrete wavelet transform , wavelet , computer security , image (mathematics) , image compression , wavelet transform , image processing , biochemistry , chemistry , network packet , gene
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.