A novel blind watermarking approach for medical image authentication using MinEigen value features
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A novel blind watermarking approach for medical image authentication using MinEigen value features Abdallah Soualmi 1 & Adel Alti 1,2
& Lamri Laouamer
2
Received: 11 December 2019 / Revised: 5 July 2020 / Accepted: 12 August 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
Developing new watermarking approaches that consider special features of medical images become increasingly necessary. This paper proposes a new watermarking approach to ensure medical images authenticity, using MinEigen value features, chaotic sequence, and Quantization Index Modulation (QIM) in the spatial domain. The idea is to choose the 3 × 3 non overlapping blocks around MinEigen values points, then embed the watermark bits in these blocks using a novel blind way based on chaotic sequence and QIM. The proposed technique is purely blind and fast in terms of execution time. Experimental results demonstrate that the proposed approach is robust against all DICOM JPEG compression attacks while keeping high imperceptibility. Keywords Medical data protection . Semi-fragile watermarking . Imperceptibility . MinEigen values . Chaotic map . QIM . Blind watermarking
1 Introduction The great progress of Information Technologies (IT) has a great potential in making medical data’s storage, sharing and access in e-health application’s faster and easier through Internet. However, data
* Adel Alti [email protected] Abdallah Soualmi [email protected] Lamri Laouamer [email protected]
1
LRSD Lab, Computer Science Department, Faculty of Sciences, University of SETIF-1, 19000 Setif, Algeria
2
Department of Management Information Systems & Production Management, College of Business & Economics, Qassim University, P.O. Box 6633, Buraidah 51452, Kingdom of Saudi Arabia
Multimedia Tools and Applications
security aspects affect the development of e-Health systems, and should be taken into consideration, where this obstacle has earn the thinking of the domain researchers to promote new solutions. Image watermarking has been extensively practiced as a solution to achieve authenticity, integrity and copyright protection [14]. It comprises the hiding of data into a host image [15, 16]. The Watermarking techniques are mainly classified according to their robustness into three classes: robust, semi-fragile and fragile [8]. In robust methods, the watermark could resist to any process practiced on the watermarked image [10], while, in semi-fragile, the watermark should confront at least minor alterations [8], for the fragile schemes, the watermark is completely fail when facing the smallest operation [21]. In recent years, several image-watermarking approaches have been proposed. Where some of this approaches work on frequency domain, which hide the data into a transform of the image, using for example: DCT (Discrete Cosine Transform) [17, 22] or DWT (Discrete Wavelet Transform) [20]…etc., while the others in spatial, which insert the watermark directly in the image pixels, using LSB (Least Significant Bits) [16] for exampl
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