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Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity
- 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.
- Subjects :
- Authentication
Computer science
business.industry
Image quality
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020207 software engineering
Watermark
02 engineering and technology
Field (computer science)
Digital image
0202 electrical engineering, electronic engineering, information engineering
Artificial Intelligence & Image Processing
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Digital watermarking
Block (data storage)
Subjects
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