Robust and high capacity image steganography using SVD

Abstract

Steganography plays an important role in the field of information hiding for secret communication. The proposed algorithm Robust and high capacity image steganography using SVD (RHISSVD) is based on singular value decomposition (SVD) transform of digital images. In this technique two important properties of SVD are utilized, namely (i) The singular values (SV) represents luminance or energy of the digital image layer. (ii) The respective pair of singular vectors represents the image geometry. Slight variation of the SV cannot affect the visual perception of the image. The cover image is transformed in to SVDs and the secret message to be transmitted is embedded in to singular values of cover image. It is observed that RHISSVD has an improvement in PSNR and capacity compared to existing algorithms.