Open AccessAN ENHANCED IMAGE STEGANOGRAPHY TECHNIQUE FOR HIGH-SECURITY COMMUNICATION
Author(s) -
Apoorv Mahajan,
Arpan Singh Rajput
Publication year - 2021
Publication title -
international journal of students research in technology and management
Language(s) - English
Resource type - Journals
ISSN - 2321-2543
DOI - 10.18510/ijsrtm.2021.921
Subject(s) - steganography , information hiding , singular value decomposition , discrete wavelet transform , computer science , transformation (genetics) , image (mathematics) , embedding , singular value , discrete cosine transform , artificial intelligence , peak signal to noise ratio , wavelet transform , mean squared error , pixel , wavelet , algorithm , mathematics , pattern recognition (psychology) , statistics , biochemistry , chemistry , eigenvalues and eigenvectors , physics , quantum mechanics , gene
Purpose of the study: We propose an approach to hide data in an image with minimum Mean Squared Error (MSE) and maximum Signal-to-Noise ratio (SNR) using Discrete Wavelet Transform (DWT).
Methodology: The methodology used by us considers the application of Discrete Wavelet transform to transform the values of the image into a different domain for embedding the information to be hidden in the image and then using Singular Value decomposition we decomposed the matrix values of the image for better data hiding.
Main Findings: The application of the SVD function gave the model a better performance and also RED pixel values with the High-High frequency domain are a better cover for hiding data.
Applications of this study: This article can be used for further research on applications of mathematical and frequency transformation functions on data hiding. It can also be used to implement a highly secure image steganography model.
Novelty/Originality of this study: The application of Discrete Wavelet Transform has been used before but the application of SVD and hiding data in the H-H domain to obtain better results is original.