Improved LSB Algorithm of Image Hiding Based on Randomness

Xin Yue; Cheng Zhou; Yi Peng Xing; Xiao Jie Tang; Bin Song

doi:10.4028/www.scientific.net/AMM.733.926

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The Kalman Filter Cuckoo Search Algorithm to Solve the TSP Problem
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 733Improved LSB Algorithm of Image Hiding Based on...

Improved LSB Algorithm of Image Hiding Based on Randomness

Abstract:

With the development of image hiding technique, it has become more and more mature. Least significant bit (LSB) image hiding algorithm is the most classic image hiding algorithm, which is simple, efficient and easy-to-extract. However, due to the change of LSB, the statistical characteristic of image carrier changes, which makes the hiding easy to be detected. On the analysis of the deficiency by using the conventional LSB algorithm, the paper propose an improved LSB algorithm of image hiding based on randomness. This algorithm could implement times of randomness on the bytes hiding, volume hiding and bit hiding. In addition, the algorithm could improve the invisibility with a jot modification. Finally, the experiment results indicate that the algorithm could hide the image well and amplify the hiding volume, which could resist the SPA analysis effectively.

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Periodical:

Applied Mechanics and Materials (Volume 733)

Pages:

926-930

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.733.926

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Online since:

February 2015

Authors:

Xin Yue, Cheng Zhou, Yi Peng Xing, Xiao Jie Tang, Bin Song

Keywords:

Carrier Image, Image Hiding, LSB, Spatial Domain Method

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