PENERAPAN METODE SINGULAR VALUE DECOMPOSITION (SVD) PADA METODE DISCRETE WAVELET TRANSFORM (DWT) UNTUK KETAHANAN DAN PEAK SIGNAL NOISE RATIO (PSNR) YANG LEBIH TINGGI DALAM STEGANOGRAFI

NEVRIYANTO, ADAM and Erwin, Erwin (2018) PENERAPAN METODE SINGULAR VALUE DECOMPOSITION (SVD) PADA METODE DISCRETE WAVELET TRANSFORM (DWT) UNTUK KETAHANAN DAN PEAK SIGNAL NOISE RATIO (PSNR) YANG LEBIH TINGGI DALAM STEGANOGRAFI. Undergraduate thesis, Sriwijaya University.

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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 insert so that if there is an attack then the encryption method can secure the data becomes more secure. Keywords: Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), Image Steganography, Peak Signal Noise Ratio (PSNR), Mean Squared Error (MSE)

Item Type:	Thesis (Undergraduate)
Subjects:	T Technology > TS Manufactures > TS155-194 Production management. Operations management > TS183.G76 Manufacturing processes, Automation. Production control. CAD/CAM systems. Computer integrated manufacturing systems. Robots, Industrial.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	01 Oct 2019 07:03
Last Modified:	01 Oct 2019 07:03
URI:	http://repository.unsri.ac.id/id/eprint/9894

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