DWT-DCT Based copyright Protection In Ycbcr Color Space
Rekha Chaturvedi1, Abhay Sharma2, Umesh Dwivedi3, Sandeep Kumar4
1Rekha Chaturvedi, Computer Science & Engineering, Amity University Rajasthan, Jaipur, India.
2Abhay Sharma, Computer Science & Engineering, Amity University Rajasthan, Jaipur, India.
3Umesh Dwivedi, Computer Science & Engineering, Amity University Rajasthan, Jaipur, India.
4Sandeep Kumar, Computer Science & Engineering, Amity University Rajasthan, Jaipur, India..
Manuscript received on 02 July 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 August 2019 | PP: 675-679 | Volume-8 Issue-10, August 2019 | Retrieval Number: J87910881019/2019©BEIESP | DOI: 10.35940/ijitee.J8791.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: : Digital image watermarking is powerful technique which provide ownership protection and copyright protection. In this paper, a novel watermarking technique based on Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) is presented. YCbCr color model is used for watermark embedding and extraction because of its close resemblance to human visual system. Single level DWT is applied to Luma Component of YCbCr color cover image and then DCT coefficients are taken for watermark embedding process. DCT is applied block by block of size . Binary watermark is scrambled using Arnold transform with k iterations to achieve robustness. Proposed method has been evaluated by many performance evaluation measures such as Peak Signal to Noise Ratio (PSNR), Normalized Correlation (NC) and Computational time. Various watermark attacks are also applied against proposed method, result shows that superiority over other methods.
Keywords: Digital Image Watermarking; DCT middle band coefficient, YCbCr, PSNR, SM and Normalized Correlation.
Scope of the Article: Digital Image