An Adjustable Interpolation-based Data Hiding Algorithm Based on LSB Substitution and Histogram Shifting
Ruo-Jhu Lin and
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Yuan-Yu Tsai: Department of M-Commerce and Multimedia Applications, Asia University and Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
Yao-Hsien Huang: Department of Information Technology and Management, Shih Chien University, Taipei, Taiwan
Ruo-Jhu Lin: Department of M-Commerce and Multimedia Applications, Asia University, Taichung, Taiwan
Chi-Shiang Chan: Department of M-Commerce and Multimedia Applications, Asia University and Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
International Journal of Digital Crime and Forensics (IJDCF), 2016, vol. 8, issue 2, 48-61
Data hiding can be regarded as a type of image processing techniques. Other image processing operations are usually integrated to increase the embedding capacity or decrease the visual distortion. Interpolation is an example of this type of operation. However, previous interpolation-based data hiding algorithms suffered from low and fixed embedding capacity and high visual distortion. This study proposes a more effective two-stage data hiding algorithm based on interpolation, LSB substitution, and histogram shifting. First, the authors modify the formula for embedding capacity calculation and make some adjustments on the sample pixels determination. A threshold is used to obtain the block complexity and each embeddable pixel has a different amount of message embedded. Second, an LSB substitution method and an optimal pixel adjustment process are adopted to raise the image quality. Finally, the authors' proposed algorithm can support adjustable embedding capacity. Compared to the previous algorithm, the experimental results demonstrate the feasibility of the proposed method.
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