Name
Abstract | ||
|---|---|---|
Steganography is the art of hiding high sensitive information in digital image, text, video or audio. In this paper, we propose a frequency domain steganography method operating in the discrete ripplet transform (DRT). We engage the advantage of ripplet transform, which represent the image at different scales and different directions and in additional to this, it efficiently represents the images with edges. In this method, the most significant coefficients of DRT are selected to embed the secret data. The proposed method has the following advantages: a) imperceptibility of the stego image is increased because the secret data is hidden in the most significant coefficients; b) we employ the scrambling method to enhance the security. The experimental result demonstrates that peak signal-to-noise (PSNR) ratio of stego image generated by this method versus the cover image is guaranteed to be average of 47.56 dB. PSNR is much higher than that of all data hiding techniques reported in the literature. |
Year | Venue | Field |
|---|---|---|
2015 | IJRIS | Frequency domain,Computer vision,Steganography,Pattern recognition,Scrambling,Computer science,Information hiding,Signal-to-noise ratio,Information security,Digital image,Artificial intelligence,Information sensitivity |
DocType | Volume | Issue |
Journal | 7 | 1/2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Uma Maheswari, S. | 1 | 8 | 2.87 |
| D. Jude Hemanth | 2 | 119 | 22.74 |