The digital revolution in digital image processing has made it feasible to create, manipulate and transmit digital images in an effortless and fast manner. The adverse affect of this is that the similar image processing techniques can be used by hackers to tamper with any image and use it illegitimately. This has made digital image safety and integrity the top prioritized issue in today’s information explosion. Most popular technique that is used for copyright protection and authentication is watermarking. Digital watermarking is an unpretentious and effective approach to afford copyright fortification. Watermark transparency is obligatory primarily for copyright protection. Based on the characteristics of human visual structure, the just noticeable distortion (JND) can be used to substantiate the transparency requirement. DCT based watermarking offers compression while DWT based watermarking techniques offer scalability. SVD based algorithm offer a robust method of watermarking with minimum or no distortion. The DWT and SVD have some advantages for the digital watermark, which can be good to resist geometric attacks and frequency domain attacks. Thus all these desirable properties can be utilized to create a new robust watermarking technique. This paper aims at developing a hybrid image watermarking algorithm which satisfies both imperceptibility and robustness requirements. In order to achieve objectives this research used singular values of Transformation’s (DWT-DCT) sub bands to embed watermark. Further to increase and control the strength of the watermark, this work used an efficient JND model. An optimal watermark embedding method is developed to achieve minimum watermarking distortion. Experimental results are provided in terms of Peak signal to noise ratio (PSNR), Mean Squared Error (MSE) and Correlation to demonstrate the effectiveness of the proposed algorithm. This paper shows an analysis of all the above method.
Cite this article:
Manjusha Tikariha, Amar Kumar Dey. Digital Image Watermarking using Hybrid DWT-DCT-SVD Approach based on JND. Research J. Engineering and Tech. 6(2): April-June, 2015 page 293-300.