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A Novel Medical Image Tamper Detection and Recovery Scheme using LSB Embedding and PWLCM

Lin Gao and Tiegang Gao
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Lin Gao: College of Software, Nankai University, Tianjin, China & School of Computer and Information Engineering, Tianjin ChengJian University, Tianjin, China
Tiegang Gao: College of Software, Nankai University, Tianjin, China

International Journal of Digital Crime and Forensics (IJDCF), 2014, vol. 6, issue 2, 1-22

Abstract: 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.

Date: 2014
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