Open AccessEfficient image steganography using graph signal processing
Author(s) -
Sharma Vijay Kumar,
Srivastava Devesh Kumar,
Mathur Pratistha
Publication year - 2018
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2017.0965
Subject(s) - computer science , steganography , signal processing , graph , image processing , artificial intelligence , computer vision , image (mathematics) , theoretical computer science , digital signal processing , computer hardware
Steganography is used for secret or covert communication. A graph wavelet transform‐based steganography using graph signal processing (GSP) is presented, which results in better visual quality stego image as well as extracted secret image. In the proposed scheme, graph wavelet transforms of both the cover image and transformed secret image (using Arnold cat map) are taken followed by alpha blending operation. The GSP‐based inverse wavelet transform is performed on the resulting image, to get the stego image. Here, the use of GSP increases the inter‐pixel correlation that results in better visual quality stego and extracted secret image as shown in simulation results. Simulation results show that the proposed scheme is more robust than other existing steganography techniques.