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Image Watermarking Using 3-Level Discrete Wavelet Transform (DWT)
Author(s) -
Nikita Kashyap,
G. R. Sinha
Publication year - 2012
Publication title -
international journal of modern education and computer science
Language(s) - English
Resource type - Journals
eISSN - 2075-017X
pISSN - 2075-0161
DOI - 10.5815/ijmecs.2012.03.07
Subject(s) - watermark , digital watermarking , discrete wavelet transform , computer science , artificial intelligence , peak signal to noise ratio , grayscale , computer vision , image (mathematics) , cover (algebra) , mean squared error , noise (video) , image quality , wavelet , pattern recognition (psychology) , wavelet transform , mathematics , statistics , mechanical engineering , engineering
We have implemented a robust image watermarking technique for the copyright protection based on 3-level discrete wavelet transform (DWT). In this technique a multi-bit watermark is embedded into the low frequency sub-band of a cover image by using alpha blending technique. The insertion and extraction of the watermark in the grayscale cover image is found to be simpler than other transform techniques. The proposed method is compared with the 1-level and 2-level DWT based image watermarking methods by using statistical parameters such as peak-signal-to-noise-ratio (PSNR) and mean square error (MSE). The experimental results demonstrate that the watermarks generated with the proposed algorithm are invisible and the quality of watermarked image and the recovered image are improved.

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