Adaptive Digital Image Watermarking Using DWT-PCA
5 Pages Posted: 6 Apr 2020
Date Written: April 8, 2020
Abstract
With the growing demand for sharing digital content over the internet, the need for multimedia security has been significant. Digital media contents like images, audio, video can be easily manipulated by computer to perceptible with original content. Advancement in Digital Watermarking techniques has been a solution to protect digital media content from copyright infringement. Digital Watermarking is the process of concealing messages in digital contents in order to verify the rightful owner of the copyright protection. In this paper we have proposed a method that would assist its users to embed a watermark to the cover image based on an adaptive approach in a much robust way while maintaining the quality of the cover image. The implementation of this algorithm is based upon cascading the features of DWT and PCA using Bhattacharyya distance and Kurtosis. PCA decompose and compress the watermark, which results in better PSNR and NCC values for the tested images. The proposed algorithm uses Bhattacharyya distance and Kurtosis to detect the scaling and embedding factors making it adaptive to the input image rather than providing constant value. The main motivation for creating an adaptive mechanism is the fact that not all images are the same and hence a static embedding factor will not result in a robust embedding of watermark in the cover image in all cases. Experimental results show the efficiency and robustness of the proposed technique.
Keywords: PSNR, NCC, DWT, IDWT, Watermarking, Kurtosis and Bhattacharyya distance
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