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Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity

Authors :
Faranak Tohidi
Manoranjan Paul
Mohammad Reza Hooshmandasl
Biswajeet Pradhan
Subrata Chakraborty
Source :
Image and Video Technology ISBN: 9783030397692, PSIVT Workshops
Publication Year :
2020
Publisher :
Springer International Publishing, 2020.

Abstract

© Springer Nature Switzerland AG 2020. 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.

Details

ISBN :
978-3-030-39769-2
ISBNs :
9783030397692
Database :
OpenAIRE
Journal :
Image and Video Technology ISBN: 9783030397692, PSIVT Workshops
Accession number :
edsair.doi.dedup.....132aa53db25b0ec441b91ad67a3c2269
Full Text :
https://doi.org/10.1007/978-3-030-39770-8_7