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Novel approach for image watermarking in YC B C R color space using LWT and SVD
| Content Provider | Semantic Scholar |
|---|---|
| Author | Vashisth, Ruchika Nandal, Vijay |
| Copyright Year | 2018 |
| Abstract | Now a day’s with advancement in technology privacy is one of the concern-parameters. There are diverse techniques available to protect our crucial data safe from unauthorized person. Watermarking, cryptographic, steganography are few examples which help us to protect our information. Digital image (DI) authentication under varying transmission and acquisition conditions is very tedious and efficient watermarking is an effective method to rid of this problem. In this research paper, we propose a transform domain approach in YCbCr color space to enhance the performance of a watermarking system, employing the distinguish integration of Discrete Wavelet Transform, Discrete Fourier Transform, and Singular Value Decomposition. DWT stage selectively utilizes the horizontal and vertical detail coefficients of the 2–dimensional DWT of an image. The translation variance problem of the DWT is compensated in the following DFT stage, which also exploits the frequency characteristics of the image. Finally, SVD is used to embed the watermark data. The method gives superior results in terms of enhanced PSNR values and is able to withstand a diverse of image processing attacks for example blur attack and motion attack. In our research work, four types of attacks are used and we can say that image quality is robust against these attacks. |
| Starting Page | 107 |
| Ending Page | 111 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| Volume Number | 4 |
| Alternate Webpage(s) | https://www.ijariit.com/manuscripts/v4i5/V4I5-1179.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
