Fragile watermarking for copyright authentication and tamper detection of medical images using compressive sensing (CS) based encryption and contourlet domain processing

With the rapid growth in communication and computing technologies, transmission of digital images and medical images over the Internet is on the rise. In such scenario, there is a special need to meet the security and privacy issues and challenges of an individual and Intellectual Property (IP) owne...

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Bibliographic Details
Published in:Multimedia tools and applications 2019-05, Vol.78 (10), p.13905-13924
Main Authors: Thanki, Rohit, Borra, Surekha
Format: Article
Language:English
Subjects:
Authentication
Computer Communication Networks
Computer Science
Cybersecurity
Data Structures and Information Theory
Digital imaging
Discrete Wavelet Transform
Encryption
Image detection
Image manipulation
Image transmission
Intellectual property
Medical imaging
Multimedia Information Systems
Signal processing
Special Purpose and Application-Based Systems
Watermarking
Wavelet transforms
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Summary:With the rapid growth in communication and computing technologies, transmission of digital images and medical images over the Internet is on the rise. In such scenario, there is a special need to meet the security and privacy issues and challenges of an individual and Intellectual Property (IP) owners. It is highly important for an individual to keep his/her personal images against invalid manipulation by the impostors. Hence developments of authentication and tamper detection techniques are the need of the hour. In this paper, a new hybrid non-blind fragile watermarking technique is proposed for tamper detection of images and for securing the copyrights of sensitive images. A combination of Compressive Sensing (CS) theory, Discrete Wavelet Transform (DWT), and Non-Subsampled Contourlet Transform (NSCT) are employed to achieve security, high embedding capacity, and authenticity. In this technique, the requirements are achieved by inserting encrypted watermark in lower frequency contourlet coefficients of cover images. The experimental results prove that this proposed technique provides high security, high imperceptibility, authenticity and tamper detection of various common signal processing and geometrical attacks.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-018-6746-2