An innovative LSB image steganography system for multi-image concealment using hardware-software co-design

This paper presents an accelerated image steganography technique utilizing Least Significant Bit (LSB) algorithms implemented on FPGA hardware to conceal and retrieve three hidden images within an RGB cover image. The embedding process uses an XOR operation between the secret bit and the cover pixel's least significant bit (LSB): if the result is zero, the bits are identical, and no change is needed; if the result is one, the secret bit replaces the LSB of the cover pixel. Two system designs were developed to evaluate acceleration: a hardware implementation on a Xilinx ZYNQ-7020 FPGA using XSG programming and a software implementation coded in MATLAB, running on a Core i7-10750H CPU @ 2.60 GHz with 8 GB RAM. The proposed system was evaluated using various performance metrics, including histogram analysis, PSNR, MSE, BER, SSIM, CCR, execution time, operating frequency, and throughput. Experimental results showed clear, accurate image retrieval with significant acceleration: the software execution time was 0.153 seconds, while the FPGA hardware achieved 23.405 microseconds, yielding a speedup factor of approximately 6537×.

Authors

Institutions

Publication Details

Journal
International Journal of Innovative Research and Scientific Studies
Published
2025-05-09
DOI
https://doi.org/10.53894/ijirss.v8i3.6887
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An innovative LSB image steganography system for multi-image concealment using hardware-software co-design

Zaid A. Abdulrazzaq, Harith Ghanim Ayoub, Ahmad F. Fathil
International Journal of Innovative Research and Scientific Studies
Advanced Steganography and Watermarking Techniques
article

An innovative LSB image steganography system for multi-image concealment using hardware-software co-design

Zaid A. Abdulrazzaq, Harith Ghanim Ayoub, Ahmad F. Fathil
article en

Abstract

This paper presents an accelerated image steganography technique utilizing Least Significant Bit (LSB) algorithms implemented on FPGA hardware to conceal and retrieve three hidden images within an RGB cover image. The embedding process uses an XOR operation between the secret bit and the cover pixel's least significant bit (LSB): if the result is zero, the bits are identical, and no change is needed; if the result is one, the secret bit replaces the LSB of the cover pixel. Two system designs were developed to evaluate acceleration: a hardware implementation on a Xilinx ZYNQ-7020 FPGA using XSG programming and a software implementation coded in MATLAB, running on a Core i7-10750H CPU @ 2.60 GHz with 8 GB RAM. The proposed system was evaluated using various performance metrics, including histogram analysis, PSNR, MSE, BER, SSIM, CCR, execution time, operating frequency, and throughput. Experimental results showed clear, accurate image retrieval with significant acceleration: the software execution time was 0.153 seconds, while the FPGA hardware achieved 23.405 microseconds, yielding a speedup factor of approximately 6537×.

International Journal of Innovative Research and Scientific StudiesVol. 8(3)
Northern Technical University (IQ)
Openalex Percentile: Top 91%
Advanced Steganography and Watermarking Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.