Multi-Image Hiding Blind Robust RGB Steganography in Transform Domain

Author:

Debnath Diptasree1ORCID,Ghosh Emlon1,Banik Barnali Gupta2ORCID

Affiliation:

1. St. Thomas' College of Engineering & Technology, Kolkata, India

2. St' Thomas College of Engineering & Technology, Kolkata, India

Abstract

Steganography is a widely-used technique for digital data hiding. Image steganography is the most popular among all other kinds of steganography. In this article, a novel key-based blind method for RGB image steganography where multiple images can be hidden simultaneously is described. The proposed method is based on Discrete Cosine Transformation (DCT) and Discrete Wavelet Transformation (DWT) which provides enhanced security as well as improve the quality of the stego. Here, the cover image has been taken as RGB although the method can be implemented on grayscale images as well. The fundamental concept of visual cryptography has been utilized here in order to increase the capacity to a great extent. To make the method more robust and imperceptible, pseudo-random number sequence and a correlation coefficient have been used for embedding and the extraction of the secrets, respectively. The robustness of the method is tested against steganalysis attacks such as crop, rotate, resize, noise addition, and histogram equalization. The method has been applied on multiple sets of images and the quality of the resultant images have been analyzed through various matrices namely ‘Peak Signal to Noise Ratio,' ‘Structural Similarity index,' ‘Structural Content,' and ‘Maximum Difference.' The results obtained are very promising and have been compared with existing methods to prove its efficiency.

Publisher

IGI Global

Subject

Computer Science Applications,Education

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Information Security for Text-Based Data Hiding Using Midpoint Folding Approach: A Comparative Analysis;Lecture Notes in Networks and Systems;2024

2. Low-Frequency Data Embedding for DFT-Based Image Steganography;International Journal of Software Science and Computational Intelligence;2022-10-25

3. A high capacity multi-image steganography technique based on golden ratio and non-subsampled contourlet transform;Multimedia Tools and Applications;2022-03-20

4. Securing Data: A Study on Different Transform Domain Techniques;WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL;2021-01-22

5. Image Steganography;Multidisciplinary Approach to Modern Digital Steganography;2021

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