Block-wise authentication and recovery scheme for medical images focusing on content complexity

Faranak Tohidi, Manoranjan Paul, Mohammad Reza Hooshmandasl, Subrata Chakraborty, Biswajeet Pradhan

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationImage and Video Technology
Subtitle of host publication9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18–22, 2019, Proceedings
EditorsJoel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul
PublisherSpringer
Pages86-99
Number of pages14
ISBN (Electronic)9783030397708
ISBN (Print)9783030397692
DOIs
Publication statusE-pub ahead of print - 27 Jan 2020
Event9th Pacific-Rim Symposium on Image and Video Technology: PSIVT 2019 - Charles Sturt University Study Centre, Sydney, Australia
Duration: 18 Nov 201922 Nov 2019
http://www.psivt.org/psivt2019/index.html
http://www.psivt.org/psivt2019/program.html (program)
https://link.springer.com/book/10.1007/978-3-030-34879-3 (proceedings)

Publication series

Name Lecture Notes in Computer Science
Volume11994
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Pacific-Rim Symposium on Image and Video Technology
Country/TerritoryAustralia
CitySydney
Period18/11/1922/11/19
Internet address

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