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| Content Provider | IET Digital Library |
|---|---|
| Author | Sharma, Vijay Kumar Srivastava, Devesh Kumar Mathur, Pratistha |
| Abstract | Steganography is used for secret or covert communication. A graph wavelet transform-based steganography using graph signal processing (GSP) is presented, which results in better visual quality stego image as well as extracted secret image. In the proposed scheme, graph wavelet transforms of both the cover image and transformed secret image (using Arnold cat map) are taken followed by alpha blending operation. The GSP-based inverse wavelet transform is performed on the resulting image, to get the stego image. Here, the use of GSP increases the inter-pixel correlation that results in better visual quality stego and extracted secret image as shown in simulation results. Simulation results show that the proposed scheme is more robust than other existing steganography techniques. |
| Starting Page | 1065 |
| Ending Page | 1071 |
| Page Count | 7 |
| ISSN | 17519659 |
| Volume Number | 12 |
| e-ISSN | 17519667 |
| Issue Number | Issue 6, Jun (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/12/6 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0965 |
| Journal | IET Image Processing |
| Publisher Date | 2018-01-23 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Alpha Blending Operation Combinatorial Mathematics Computer Vision And Image Processing Technique Covert Communication Cryptography Data Security Graph Signal Processing Graph Theory Graph Wavelet Transform-based Steganography GSP-based Inverse Wavelet Transform Image Processing Image Steganography Integral Transforms Interpixel Correlation Inverse Transforms Optical, Image And Video Signal Processing Secret Communication Steganography Visual Quality Stego Visual Quality Stego Image Wavelet Transform |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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