TY - GEN
T1 - Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity
AU - Tohidi, Faranak
AU - Paul, Manoranjan
AU - Hooshmandasl, Mohammad Reza
AU - Chakraborty, Subrata
AU - Pradhan, Biswajeet
PY - 2020
Y1 - 2020
N2 - Digital images are used to transfer most critical data in areas like medical, research, business, military, etc. The images transfer takes place over an unsecured Internet network. Therefore, there is a need for reliable security and protection for these sensitive images. Medical images play an important role in the field of Telemedicine and Tele surgery. Thus, before making any diagnostic decisions and treatments, the authenticity and the integrity of the received medical images need to be verified to avoid misdiagnosis. This paper proposes a block-wise and blind fragile watermarking mechanism for medical image authentication and recovery. By eliminating embedded insignificant data and considering different content complexity for each block during feature extraction and recovery, the capacity of data embedding without loss of quality is increased. This new embedding watermark method can embed a copy of the compressed image inside itself as a watermark to increase the recovered image quality. In our proposed hybrid scheme, the block features are utilized to improve the efficiency of data concealing for authentication and reduce tampering. Therefore, the scheme can achieve better results in terms of the recovered image quality and greater tampering protection, compared with the current schemes.
AB - Digital images are used to transfer most critical data in areas like medical, research, business, military, etc. The images transfer takes place over an unsecured Internet network. Therefore, there is a need for reliable security and protection for these sensitive images. Medical images play an important role in the field of Telemedicine and Tele surgery. Thus, before making any diagnostic decisions and treatments, the authenticity and the integrity of the received medical images need to be verified to avoid misdiagnosis. This paper proposes a block-wise and blind fragile watermarking mechanism for medical image authentication and recovery. By eliminating embedded insignificant data and considering different content complexity for each block during feature extraction and recovery, the capacity of data embedding without loss of quality is increased. This new embedding watermark method can embed a copy of the compressed image inside itself as a watermark to increase the recovered image quality. In our proposed hybrid scheme, the block features are utilized to improve the efficiency of data concealing for authentication and reduce tampering. Therefore, the scheme can achieve better results in terms of the recovered image quality and greater tampering protection, compared with the current schemes.
UR - http://www.psivt.org/psivt2019/program.html
U2 - 10.1007/978-3-030-39770-8_7
DO - 10.1007/978-3-030-39770-8_7
M3 - Conference contribution
SN - 9783030397708
SN - 9783030397692
T3 - Lecture Notes in Computer Science
SP - 86
EP - 99
BT - Image and Video Technology: PSIVT 2019
A2 - Janek Dabrowski, Joel
A2 - Rahman, Ashfaqur
A2 - Paul, Manoranjan
PB - Springer
CY - Cham, Switzerland
T2 - PSIVT 2019: 9th Pacific-Rim Symposium on Image and Video Technology Workshops
Y2 - 18 November 2019 through 22 November 2019
ER -