Erwin, Erwin (2018) Image Steganography Using Combine of Discrete Wavelet Transform and Singular Value Decomposition for More Robustness and Higher Peak Signal Noise Ratio. In: 2018 International Conference on Electrical Engineering and Computer Science (ICECOS 2018), 2-4 Oct 2018, Pangkal Pinang.
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Abstract
This paper presents an image technique Discrete Wavelet Transform and Singular Value Decomposition for image steganography. We are using a text file and convert into an image as watermark and embed watermarks into the cover image. We evaluate performance and compare this method with other methods like Least Significant Bit, Discrete Cosine Transform, and Discrete Wavelet Transform using Peak Signal Noise Ratio and Mean Squared Error. The result of this experiment showed that combine of Discrete Wavelet Transform and Singular Value Decomposition performance is better than the Least Significant Bit, Discrete Cosine Transform, and Discrete Wavelet Transform. The result of Peak Signal Noise Ratio obtained from Discrete Wavelet Transform and Singular Value Decomposition method is 57.0519 and 56.9520 while the result of Mean Squared Error is 0.1282 and 0.1311. Future work for this research is to add the encryption method on the data to be entered so that if there is an attack then the encryption method can secure the data becomes more secure.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
| Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
| Depositing User: | Dr Erwin Erwin |
| Date Deposited: | 12 Oct 2020 00:42 |
| Last Modified: | 12 Oct 2020 00:42 |
| URI: | http://repository.unsri.ac.id/id/eprint/36525 |
Available Versions of this Item
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Image Steganography Using Combine of
Discrete Wavelet Transform and Singular
Value Decomposition for More Robustness
and Higher Peak Signal Noise Ratio. (deposited 20 Apr 2020 01:05)
- Image Steganography Using Combine of Discrete Wavelet Transform and Singular Value Decomposition for More Robustness and Higher Peak Signal Noise Ratio. (deposited 12 Oct 2020 00:42) [Currently Displayed]
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