A novel robust blind medical image watermarking using GWO optimized DWT-DCT-SVD

被引:0
|
作者
Hidangmayum Saxena Devi
Hitesh Mohapatra
机构
[1] National Institute Of Technology,Department of Computer Science and Engineering
[2] KIIT (Deemed to be) University,School of Computer Engineering
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关键词
Discrete wavelet transform; Discrete cosine transform; Grey wolf optimization; Singular value decomposition;
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摘要
This paper aims at producing a new, robust, and efficient blind medical image watermarking system for CT scan, X-ray, MRI, and Ultrasound Dicom images. In this work, three binary watermark images are used to hide one at a time in the cover image by proposing a novel GWO-optimized hybrid DWT-DCT-SVD scheme. The reason for combining DWT and DCT is to select the position where to hide the message and SVD for conversion of the DCT matrix into the singular matrix and grey wolf optimization decides the gain value to be used to insert the message bits at selected positions. The performance criteria used for image watermarking are Peak Signal to Noise Ratio (PSNR), NCC(Normalized Cross-Correlation) values. It is noticed from the experimental results that the proposed method works more effectively than the existing systems in majority of the image processing attacks.
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页码:41267 / 41286
页数:19
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