Using Genetic and Hill Climbing Algorithms to Improve Performance of Image Steganography

Document Type : Original Article

Authors

Faculty of Electrical and Computer Engineering, University of Tabriz

Abstract

In this paper, a new method based on genetic and hill Climbing algorithms for steganography in image is proposed. Data is embedded in LSB. In order to enhance image quality and storage capacity, genetic algorithm is utilized which model hiding as a search and optimization process. Also, to speed up the search function with genetic algorithm, local search and hill Climbing algorithms have been used. The findings show that the hiding image quality is acceptable while capacity is increased. Also, hill Climbing Algorithm speed up the hiding process.

Keywords

References

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Advanced Signal Processing
Volume 1, Issue 1 - Serial Number 1
December 2016
Pages 15-25

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