Lsb Image Steganography Based on Blocks Matrix Determinant Method
Loading...
Date
2019
Authors
Shehzad, Danish
Dağ, Tamer
Journal Title
Journal ISSN
Volume Title
Publisher
KSII-KOR SOC Internet Information
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Image steganography is one of the key types of steganography where a message to be sent is hidden inside the cover image. The most commonly used techniques for image steganography rely on LSB steganography. In this paper, a novel image steganography technique based on blocks matrix determinant method is proposed. Under this method, a cover image is divided into blocks of size 2 x 2 pixels and the determinant of each block is calculated. The comparison of the determinant values and corresponding data bits yields a delicate way for the embedment of data bits. The main aim of the proposed technique is to ensure concealment of secret data inside an image without affecting the cover image quality. When the proposed steganography method is compared with other existing LSB steganography methods, it is observed that it not only provides higher PSNR, lower MSE but also guarantees better quality of the stego image.
Description
Keywords
Image Steganography, Least Significant Bits (LSB), Matrix Determinant Steganography (MDS), Peak Signal to Noise Ratio (PSNR), Matrix Determinant Steganography (MDS), Least Significant Bits (LSB), Image Steganography, Peak Signal to Noise Ratio (PSNR)
Turkish CoHE Thesis Center URL
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q4
Scopus Q
Q3

OpenCitations Citation Count
3
Source
KSII Transactions on Internet and Information Systems
Volume
13
Issue
7
Start Page
3778
End Page
3793
PlumX Metrics
Citations
Scopus : 13
Captures
Mendeley Readers : 12
SCOPUS™ Citations
13
checked on Feb 01, 2026
Web of Science™ Citations
11
checked on Feb 01, 2026
Page Views
5
checked on Feb 01, 2026
Downloads
234
checked on Feb 01, 2026
Google Scholar™


