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

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

Lin Gao, Tiegang Gao
Copyright: © 2014 |Volume: 6 |Issue: 2 |Pages: 22
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781466653481|DOI: 10.4018/ijdcf.2014040101
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MLA

Gao, Lin, and Tiegang Gao. "A Novel Medical Image Tamper Detection and Recovery Scheme using LSB Embedding and PWLCM." IJDCF vol.6, no.2 2014: pp.1-22. http://doi.org/10.4018/ijdcf.2014040101

APA

Gao, L. & Gao, T. (2014). A Novel Medical Image Tamper Detection and Recovery Scheme using LSB Embedding and PWLCM. International Journal of Digital Crime and Forensics (IJDCF), 6(2), 1-22. http://doi.org/10.4018/ijdcf.2014040101

Chicago

Gao, Lin, and Tiegang Gao. "A Novel Medical Image Tamper Detection and Recovery Scheme using LSB Embedding and PWLCM," International Journal of Digital Crime and Forensics (IJDCF) 6, no.2: 1-22. http://doi.org/10.4018/ijdcf.2014040101

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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.

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