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首页> 外文期刊>International journal of digital crime and forensics >A Novel Medical Image Tamper Detection and Recovery Scheme using LSB Embedding and PWLCM
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A Novel Medical Image Tamper Detection and Recovery Scheme using LSB Embedding and PWLCM

机译:基于LSB嵌入和PWLCM的医学影像篡改检测与恢复方案

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摘要

A novel medical image tamper detection and recovery scheme based on Least Significant Bit (LSB) embedding and Piecewise Linear Chaotic Map (PWLCM) is proposed in the paper. To meet the demand of medical usage, the proposed scheme not only improved the precision of detection compared with block-wise scheme of watermark embedding, but also guaranteed the security of the scheme by applying PWLCM. To evaluate the proposed scheme, a former scheme proposed by Xiao et al is used for comparison; the two scheme s visual quality, accuracy of detection, recovery quality and security are tested during the experiment. The experimental results suggest that the proposed scheme meets the demand of visual quality and security for using in medical image tamper detection and recovery.
机译:提出了一种基于最小有效位嵌入和分段线性混沌映射(PWLCM)的医学图像篡改检测与恢复方案。为满足医疗需求,该方案不仅与水印嵌入的逐块方案相比提高了检测精度,而且通过采用PWLCM保证了方案的安全性。为了评估提出的方案,使用Xiao等人提出的以前的方案进行比较。实验中测试了两种方案的视觉质量,检测精度,恢复质量和安全性。实验结果表明,该方案满足了医学图像篡改检测和恢复中视觉质量和安全性的需求。

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