Skip to main navigation Skip to search Skip to main content

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: Chapter in Book/Report/Conference proceedingConference contributionpeer-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: PSIVT 2019
EditorsJoel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul
Place of PublicationCham, Switzerland
PublisherSpringer
Pages86-99
ISBN (Print)9783030397708, 9783030397692
DOIs
Publication statusPublished - 2020
EventPSIVT 2019: 9th Pacific-Rim Symposium on Image and Video Technology Workshops - Sydney, Australia
Duration: 18 Nov 201922 Nov 2019

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Number11994
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferencePSIVT 2019: 9th Pacific-Rim Symposium on Image and Video Technology Workshops
CitySydney, Australia
Period18/11/1922/11/19

Fingerprint

Dive into the research topics of 'Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity'. Together they form a unique fingerprint.

Cite this