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Image interpolation based high capacity reversible data hiding scheme
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DOI：10.1007/s11042-016-4186-4.png)
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摘要
En 中文
In this paper, we propose a new interpolation technique which considers all the neighboring pixels as well as their impact on the reference pixels to provide better quality interpolated image and a new data hiding scheme which embeds the secret data in the interpolated pixels by taking into account the human visual system so that quality of the resultant image is maintained. The proposed interpolation technique is an improvement of the existing neighbor mean interpolation (NMI) technique in such a way that the interpolated image would have more resemblance to the input image. The proposed interpolation technique has less computational cost like NMI as it does not perform much computation during estimation unlike B-Spline, Bilinear Interpolation etc. The proposed data hiding scheme comes into the category of reversible data hiding scheme as the input image can be reconstructed after extraction of the entire secret data at the receiver side. Thus, it reduces the communication cost. Furthermore, the proposed data hiding scheme identifies the smooth and complex regions of the interpolated (or cover) image by dividing the same into blocks. It then embeds more bits into the complex regions of the image so that data hiding capacity as well as the image quality can be enhanced. The experimental results shows that the percentage increment in the PSNR value and capacity of the proposed scheme with respect to Chang et al. method is in the range of 0.26 to 30.60% and 0.87 to 73.82%, respectively. Moreover, the modified NMI yields higher PSNRs than other interpolating methods such as NMI, BI, and ENMI.
Keyword:
Data hiding
Image interpolation
NMI
Weighted neighbor mean interpolation
PSNR
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3
论文数:
2.0W
被引数:
3.2W
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