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Reversible Watermarking in Medical Image Using RDWT and Sub-Sample

Lin Gao, Tiegang Gao and Jie Zhao
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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
Jie Zhao: School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin, China

International Journal of Digital Crime and Forensics (IJDCF), 2015, vol. 7, issue 4, 1-18

Abstract: This paper proposed a reversible medical image watermarking scheme using Redundant Discrete Wavelet Transform (RDWT) and sub-sample. To meet the highly demand of the perceptional quality, the proposed scheme embedding the watermark by modifying the RDWT coefficients. The sub-sample scheme is introduced to the proposed scheme for the enhancement of the embedding capacity. Moreover, to meet the need of security, a PWLCM based image encryption algorithm is introduced for encrypting the image after the watermark embedding. The experimental results suggests that the proposed scheme not only meet the highly demand of the perceptional quality, but also have better embedding capacity than former DWT based scheme. Also the encryption scheme could protect the image contents efficiently.

Date: 2015
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