Paper Info
Title
Image hiding by optimal LSB substitution and genetic algorithm
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.
Year
DOI
Venue
2001
10.1016/S0031-3203(00)00015-7
Pattern Recognition
Keywords
Field
DocType
Image encryption,Image hiding,LSB substitution,Genetic algorithm
Embedding,Image hiding,Algorithm,Theoretical computer science,Lsb substitution,Notice,Mathematics,Genetic algorithm,Computation
Journal
Volume
Issue
ISSN
34
3
0031-3203
Citations 
PageRank 
References 
254
21.47
9
Authors
3
Search Limit
100254
Name
Order
Citations
PageRank
Ran-Zan Wang161048.37
Chi-fang Lin228025.93
Ja-Chen Lin31783134.17