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A Robust Hybrid Algorithm for Image Watermarking
Author(s) -
Sharanjit Singh,
Neha Mahant
Publication year - 2018
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2018.7.2.1882
Subject(s) - digital watermarking , image (mathematics) , computer science , peak signal to noise ratio , artificial intelligence , noise (video) , algorithm , transformation (genetics) , computer vision , signal (programming language) , digital image , pattern recognition (psychology) , image processing , biochemistry , chemistry , gene , programming language
Image watermarking is the mechanism of hiding the critical information on the segment of the image that can either be least significant or most significant in nature. Image watermarking involves multiple images that are merged together to achieve a common image that is transferred over a digital medium. Proposed system uses slant let transformation to achieve better result of image security in terms of accuracy. Accuracy is achieved by minimising mean square error and improving peak signal to noise ratio.

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