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Journal : Limits: Journal of Mathematics and Its Applications

Studi Steganografi Pada Citra Digital Menggunakan Shuffled Singular Value Decomposition (SSVD) Ainiya Aziza; Elly Matul Imah
Limits: Journal of Mathematics and Its Applications Vol 16, No 1 (2019)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (41.838 KB) | DOI: 10.12962/limits.v16i1.4675

Abstract

Stegangraphy is a technique for embed secret message in original image. It has an important role in the field of information hiding for secret communication. Many research about steganography tecniques have been developed, one of them is singular value decomposition (SVD). SVD method is popular discused in many tecnique such us steganography and watermarking. In addition to SVD there is a method which can give better result than SVD on watermaring technique that is Shuffled SVD. The differences between SSVD and SVD is in shuffle process which applied before applying SVD. The popularity of SSVD in the watermarking technique made the writer intererest to propose an image steganography tecnique using shuffled singular value decomposition (SSVD). The data used are two original RGB imaage and a message RGB image. Quality measured by PSNR and Correlation Coefficient. The experimental result show that the shuffling process on the secret message caused embedded message can’t  read easyly so the secret message is more secure.