High Capacity Image Steganography based on Discrete Wavelet Transform and Singular Value Decomposition
Mansi S. Subhedar, Vijay H. Mankar · 2014
Steganography plays very significant role in the field of information hiding for secret communication. It is a covert communication to hide secret data in cover media (e.g. text, audio, video, image etc). Security, high embedding capacity and imperceptibility are the key points to design an efficient steganographic algorithm. We propose a novel technique to embed secret information in cover image based on discrete wavelet transform (DWT) and singular value decomposition (SVD). The algorithm modifies singular values of HH band of cover image by that of secret image. Singular values possess intrinsic algebraic properties and exhibit good stability that enables us to hide secret information without degrading the perceptual quality. Furthermore, experimental results show robustness against various image processing and geometric attacks.