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Research Paper | Electronics & Communication Engineering | India | Volume 6 Issue 5, May 2017 | Rating: 6.8 / 10

Robust and Imperceptible Image Watermarking Using Redundant Discrete Wavelet Transform and Singular Value Decomposition

Neha Sharma ^[14] | Rasmi Ranjan Samantray ^[2]

Abstract: This paper present a substantial image watermarking technique to achieve proof of ownership and copyright protection. Various techniques are developed in order to protect the data from illegal access. In this paper we discussed about the image watermarking technique which is substantial against various attacks. In digital image watermarking, a secure or watermark image embedded inside the cover image to show the authenticity and proof of ownership. In this paper we proposed a hybrid technique RDWT-SVD which is used for image watermarking. In this technique both cover image and secure image are decomposed using 3-level redundant discrete wavelet transform, and then SVD apply to HL3 band of both cure image and secure image. After this singular value of cover image is replace by modified singular value for embedding watermark. Then place the embedded watermark image in various attacks, after this extract watermark image and compare it by using PSNR and MSE values. Experimental results are provided to show that the technique is substantial against various attacks.

Keywords: Discrete wavelet transform DWT, Redundant discrete wavelet transform RDWT, Singular value decomposition SVD, Inverse redundant discrete wavelet transform IRDWT, Human visual system HVS, Spatial frequency localization, Peak-signal-to-noise-ratio PSNR, Mean square error MSE

Edition: Volume 6 Issue 5, May 2017,

Pages: 2556 - 2562