Grayscale Image Hiding Based on Modulus Function and Greedy Method

Authors:
Yu-Chen Hu;Chih-Chiang Tsou;Bing-Hwang Su
Affiliations:
(Correspd.) Department of Computer Science and Information Management, Providence University, Taichung, Taiwan 433, R.O.C. E-mails: ychu@pu.edu.tw, chihchiang.tsou@gmail.com, bhsu@pu.edu.tw;Department of Computer Science and Information Management, Providence University, Taichung, Taiwan 433, R.O.C. E-mails: ychu@pu.edu.tw, chihchiang.tsou@gmail.com, bhsu@pu.edu.tw;Department of Computer Science and Information Management, Providence University, Taichung, Taiwan 433, R.O.C. E-mails: ychu@pu.edu.tw, chihchiang.tsou@gmail.com, bhsu@pu.edu.tw
Venue:
Fundamenta Informaticae
Year:
2008

Citing 5
Cited 1

Techniques for data hiding

IBM Systems Journal
Spatial domain image hiding scheme using pixel-values differencing

Fundamenta Informaticae
High-capacity image hiding scheme based on vector quantization

Pattern Recognition
Multiple Images Embedding Scheme Based on Moment Preserving Block Truncation Coding

Fundamenta Informaticae
Hiding secret data in images via predictive coding

Pattern Recognition

Tree Structure Based Data Hiding for Progressive Transmission Images

Fundamenta Informaticae

Quantified Score

Hi-index	0.00

Visualization

Abstract

A novel LSB-based image-hiding scheme that embeds secret data into the grayscale cover image is proposed in this paper. Several LSB-based image hiding schemes such as simple LSB substitution technique, optimal LSB substitution technique, greedy LSB substitution technique, modulus LSB substitution technique had been proposed. To provide good image quality of the stego-image while requiring a low computational cost, the greedy method and modulus function are employed in the proposed scheme. According to the results, the proposed scheme provides better image quality of stego-image than the comparative schemes while consuming a low computational cost.