Visible to the public Image Steganography Using Combine of Discrete Wavelet Transform and Singular Value Decomposition for More Robustness and Higher Peak Signal Noise Ratio

TitleImage Steganography Using Combine of Discrete Wavelet Transform and Singular Value Decomposition for More Robustness and Higher Peak Signal Noise Ratio
Publication TypeConference Paper
Year of Publication2018
AuthorsNevriyanto, A., Sutarno, S., Siswanti, S. D., Erwin, E.
Conference Name2018 International Conference on Electrical Engineering and Computer Science (ICECOS)
PublisherIEEE
ISBN Number978-1-5386-5721-8
Keywordscompositionality, cryptography, Cyber physical system, decomposition, discrete cosine transform, discrete cosine transforms, Discrete Wavelet Transform (DWT), discrete wavelet transforms, encryption method, frequency-domain analysis, higher peak signal noise ratio, Image coding, Image Steganography, image technique discrete wavelet transform, mean squared error, Mean Squared Error (MSE), Metrics, Peak Signal Noise Ratio (PSNR), pubcrawl, Robustness, singular value decomposition, Singular Value Decomposition (SVD), singular value decomposition method, singular value decomposition performance, steganography, Watermarking, wavelet transforms
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.

URLhttps://ieeexplore.ieee.org/document/8605205
DOI10.1109/ICECOS.2018.8605205
Citation Keynevriyanto_image_2018