Abstract
Medical data security is facing great challenges in medical applications due to the open internet and the semi-trusted cloud. For the sake of privacy protection and the security of medical images, this paper proposes a secure and high visual-quality framework for medical images. In this framework, a novel reversible data hiding (RDH) based on lesion extraction embeds privacy data into medical images for privacy protection and image quality improvement, homomorphic encryption based on chaotic map encrypts images for medical image security. The experiments have shown that the proposed framework increases the security of medical data and improves the visual quality of medical images significantly. The proposed RDH in this framework outperforms the other RDH methods with contrast enhancement and the proposed encryption scheme increases image security well.
Highlights
Nowadays, medical imaging clouds, telemedicine and telematics services play a significant responsibility in the growth of the medical industry
REVERSIBLE DATA HIDING BASED ON LESION EXTRACTION AND WITH CONTRAST ENHANCEMENT To protect patients’ privacy and improve the visual quality of medical images, reversible data hiding (RDH) based on lesion extraction and with contrast enhancement is proposed in this framework
RDH based on lesion extraction achieves privacy protection and medical images’ visual quality improvement, and homomorphic encryption based on chaotic map protects image from attacks
Summary
Medical imaging clouds, telemedicine and telematics services play a significant responsibility in the growth of the medical industry. For improving the quality of images, RDH methods with contrast enhancement are proposed later. This important technique is applied to images with high quality, such as the medical image. Puteaux et al [23] proposed a RDH method based on most significant bit (MSB) prediction to embed data into encrypted images. Wu et al [24] proposed RDH based on difference expansion and histogram shifting to embed data into the encrypted domain. The proposed framework is more suitable for medical images to increase the security of medical data and improve visual quality of medical images in medical applications, such as picture archiving and communicating system, hospital information system, telemedicine, medical imaging clouds, telematics medical services and so on.
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