Image hiding by optimal LSB substitution and genetic algorithm
In this paper, we develop a novel method to embed important data in the host image so that the interceptors will not notice about the existence of the data. The basic concept of the proposed method is by simple LSB substitution. To prevent illicit access of data and increase the system performance,...
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| Published in | Pattern recognition Vol. 34; no. 3; pp. 671 - 683 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.03.2001
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0031-3203 1873-5142 |
| DOI | 10.1016/S0031-3203(00)00015-7 |
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| Abstract | In this paper, we develop a novel method to embed important data in the host image so that the interceptors will not notice about the existence of the data. The basic concept of the proposed method is by simple LSB substitution. To prevent illicit access of data and increase the system performance, the method of randomized process and the optimal LSB substitution are proposed. The effectiveness of the optimal LSB substitution in the worst case is proved. We also develop a genetic algorithm to solve the problem of hiding important data in the rightmost
k LSBs of the host image, which may involve a huge computation time to find the optimal result when
k is large. Finally, based on the concept of perceptual modeling, an improved hiding technique is developed to obtain a high-quality embedding result. Experimental results will reveal that the quality of the embedding result will not be seriously degraded, and is near optimal by utilizing the proposed method. |
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| AbstractList | In this paper, we develop a novel method to embed important data in the host image so that the interceptors will not notice about the existence of the data. The basic concept of the proposed method is by simple LSB substitution. To prevent illicit access of data and increase the system performance, the method of randomized process and the optimal LSB substitution are proposed. The effectiveness of the optimal LSB substitution in the worst case is proved. We also develop a genetic algorithm to solve the problem of hiding important data in the rightmost
k LSBs of the host image, which may involve a huge computation time to find the optimal result when
k is large. Finally, based on the concept of perceptual modeling, an improved hiding technique is developed to obtain a high-quality embedding result. Experimental results will reveal that the quality of the embedding result will not be seriously degraded, and is near optimal by utilizing the proposed method. In this paper, we develop a novel method to embed important data in the host image so that the interceptors will not notice about the existence of the data. The basic concept of the proposed method is by simple LSB substitution. To prevent illicit access of data and increase the system performance, the method of randomized process and the optimal LSB substitution are proposed. The effectiveness of the optimal LSB substitution in the worst case is proved. We also develop a genetic algorithm to solve the problem of hiding important data in the rightmost k LSBs of the host image, which may involve a huge computation time to find the optimal result when k is large. Finally, based on the concept of perceptual modeling, an improved hiding technique is developed to obtain a high-quality embedding result. Experimental results will reveal that the quality of the embedding result will not be seriously degraded, and is near optimal by utilizing the proposed method. |
| Author | Lin, Ja-Chen Lin, Chi-Fang Wang, Ran-Zan |
| Author_xml | – sequence: 1 givenname: Ran-Zan surname: Wang fullname: Wang, Ran-Zan organization: Department of Computer and Information Science, National Chiao Tung University, Hsinchu, 300, Taiwan, Republic of China – sequence: 2 givenname: Chi-Fang surname: Lin fullname: Lin, Chi-Fang email: cscflin@saturn.yzu.edu.tw organization: Institute of Electrical Engineering and Computer Engineering and Science, Yuan-Ze University, 135 Yuan-Tung Road, Chungli, Taoyuan, 320, Taiwan, Republic of China – sequence: 3 givenname: Ja-Chen surname: Lin fullname: Lin, Ja-Chen organization: Department of Computer and Information Science, National Chiao Tung University, Hsinchu, 300, Taiwan, Republic of China |
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| Cites_doi | 10.1117/1.482657 10.1016/0031-3203(92)90074-S 10.1016/S0020-0190(96)00168-8 10.1147/sj.353.0313 10.1109/ICIP.1994.413536 10.1016/S0167-4048(97)82243-2 10.1109/TCOM.1982.1095533 10.1109/83.736686 10.1109/83.650120 |
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| Snippet | In this paper, we develop a novel method to embed important data in the host image so that the interceptors will not notice about the existence of the data.... |
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| SubjectTerms | Genetic algorithm Image encryption Image hiding LSB substitution |
| Title | Image hiding by optimal LSB substitution and genetic algorithm |
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