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An Improved Interpolation based Reversible Data Hiding for Medical Images

机译:基于改进的基于插值的用于医学图像的可逆数据

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Despite having a good embedding performance for natural images, performance of the Interpolation based Reversible Data Hiding (IRDH) schemes is yet to be verified for medical images. An IRDH scheme embeds only in the up-sampled pixels leaving the original pixels intact in an input image, which is strictly required in many medical and military image applications. This paper therefore presents an improved IRDH scheme and analysis of its embedding performance for medical images. Our proposed scheme utilizes local dispersion based adjustment to improve the quality of embedded images further. For higher embedding capacity, correlation between each interpolated pixel and its embedded versions is used. Experiments have been carried out for embedding data into a set of medical images, and our early results are evident of significant improvement in embedding performance.
机译:尽管对自然图像具有良好的嵌入性能,但基于插值的可逆数据隐藏(IRDH)方案的性能尚未验证用于医学图像。 IRDH方案仅嵌入在留下的上采样像素中,使原始像素完好地完整在输入图像中,这在许多医疗和军用图像应用中严格要求。因此,本文提出了一种改进的IRDH方案,并分析了其对医学图像的嵌入性能。我们所提出的计划利用基于本地分散的调整来提高嵌入式图像的质量。对于更高的嵌入容量,使用每个内插像素与其嵌入式版本之间的相关性。已经进行了实验,用于将数据嵌入到一组医学图像中,我们的早期结果是对嵌入性能的显着改善显而易见。

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