Open Access Open Access  Restricted Access Subscription Access

On the Image Quality and Encoding Times of LSB, MSB and Combined LSB-MSB Steganography Algorithms Using Digital Images


Affiliations
1 Department of Computer Science, University of Ibadan, Nigeria
 

The Least Significant Bit (LSB) algorithm and the Most Significant Bit (MSB) algorithm are steganography algorithms with each one having its demerits. This work therefore proposed a Hybrid approach and compared its efficiency with LSB and MSB algorithms. The Least Significant Bit (LSB) and Most Significant Bit (MSB) techniques were combined in the proposed algorithm. Two bits (the least significant bit and the most significant bit) of the cover images were replaced with a secret message. Comparisons were made based on Mean-Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and the encoding time between the proposed algorithm, LSB and MSB after embedding in digital images. The combined technique produced a stego-image with minimal distortion in image quality than MSB technique independent of the nature of data that was hidden. However, LSB algorithm produced the best stego-image quality. Large cover images however made the combined algorithm's quality better improved. The combined algorithm had lesser time of image and text encoding. Therefore, a trade-off exists between the encoding time and the quality of stego-image as demonstrated in this work.

Keywords

Steganography, Cover Image, Most Significant Bit (LSB), Least Significant Bit (LSB).
User
Notifications
Font Size

Abstract Views: 205

PDF Views: 182




  • On the Image Quality and Encoding Times of LSB, MSB and Combined LSB-MSB Steganography Algorithms Using Digital Images

Abstract Views: 205  |  PDF Views: 182

Authors

Solomon O. Akinola
Department of Computer Science, University of Ibadan, Nigeria
Adebanke A. Olatidoye
Department of Computer Science, University of Ibadan, Nigeria

Abstract


The Least Significant Bit (LSB) algorithm and the Most Significant Bit (MSB) algorithm are steganography algorithms with each one having its demerits. This work therefore proposed a Hybrid approach and compared its efficiency with LSB and MSB algorithms. The Least Significant Bit (LSB) and Most Significant Bit (MSB) techniques were combined in the proposed algorithm. Two bits (the least significant bit and the most significant bit) of the cover images were replaced with a secret message. Comparisons were made based on Mean-Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and the encoding time between the proposed algorithm, LSB and MSB after embedding in digital images. The combined technique produced a stego-image with minimal distortion in image quality than MSB technique independent of the nature of data that was hidden. However, LSB algorithm produced the best stego-image quality. Large cover images however made the combined algorithm's quality better improved. The combined algorithm had lesser time of image and text encoding. Therefore, a trade-off exists between the encoding time and the quality of stego-image as demonstrated in this work.

Keywords


Steganography, Cover Image, Most Significant Bit (LSB), Least Significant Bit (LSB).