EconPapers    
Economics at your fingertips  
 

A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method

Habiba Sultana (), A. H. M. Kamal, Gahangir Hossain and Muhammad Ashad Kabir
Additional contact information
Habiba Sultana: Department of Computer Science and Engineering, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh 2220, Bangladesh
A. H. M. Kamal: Department of Computer Science and Engineering, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh 2220, Bangladesh
Gahangir Hossain: Department of Information Science, University of North Texas, Denton, TX 76203-5017, USA
Muhammad Ashad Kabir: School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, Australia

Future Internet, 2023, vol. 15, issue 3, 1-22

Abstract: In digital image processing and steganography, images are often described using edges and local binary pattern (LBP) codes. By combining these two properties, a novel hybrid image steganography method of secret embedding is proposed in this paper. This method only employs edge pixels that influence how well the novel approach embeds data. To increase the quantity of computed edge pixels, several edge detectors are applied and hybridized using a logical OR operation. A morphological dilation procedure in the hybridized edge image is employed to this purpose. The least significant bits (LSB) and all LBP codes are calculated for edge pixels. Afterward, these LBP codes, LSBs, and secret bits using an exclusive-OR operation are merged. These resulting implanted bits are delivered to edge pixels’ LSBs. The experimental results show that the suggested approach outperforms current strategies in terms of measuring perceptual transparency, such as peak signal-to-noise ratio (PSNR) and structural similarity index (SSI). The embedding capacity per tempered pixel in the proposed approach is also substantial. Its embedding guidelines protect the privacy of implanted data. The entropy, correlation coefficient, cosine similarity, and pixel difference histogram data show that our proposed method is more resistant to various types of cyber-attacks.

Keywords: steganography; LBP code; LSB; edge detector; PSNR; SSIM (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/15/3/108/pdf (application/pdf)
https://www.mdpi.com/1999-5903/15/3/108/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:15:y:2023:i:3:p:108-:d:1093659

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jftint:v:15:y:2023:i:3:p:108-:d:1093659