Indexed by:Journal Papers
Date of Publication:2020-05-01
Journal:OPTICS AND LASERS IN ENGINEERING
Included Journals:EI、SCIE
Volume:128
ISSN No.:0143-8166
Key Words:Shearlet transform; Medical image; Optical encryption framework; Texture
Abstract:The security of medical image data for transmission and storage is a critical issue. Texture information of medical images is important for diagnosis. Since Shearlets is particularly effective in characterizing texture information, in this paper, we propose a generalized optical encryption framework based on Shearlets and double random phase encoding (DRPE) especially for medical images. In the proposed encryption framework, the secret medical image is first decomposed into n sub-images with shearlet transform. Then, the sub-images or pixel positions are shuffled by scrambling algorithm. Subsequently, the shuffled sub-images are synthesized into one image. Finally, the synthesized image is encoded with DRPE. The security level of the proposed encryption framework can be improved by changing the parameters of shearlet transform and selecting different methods for scrambling pixels and synthesizing multiple images to single image. Extensive simulation results have shown the performance of the proposed optical encryption framework. The proposed encryption framework can be improved along with novelty scrambling method and reversible synthesize methods.
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Male
Alma Mater:Dalian University of Technology (DUT)
Degree:Doctoral Degree
School/Department:State Key Laboratory of Industrial Equipment for Structral Analysis, Department of Engineering Mechanics
Discipline:Solid Mechanics. Applied and Experimental Mechanics. Engineering Mechanics. Mechanical Manufacture and Automation. Vehicle Engineering. Aerospace Mechanics and Engineering. mechanics of manufacturing process
Business Address:Room 321, Department of Engineering Mechanics
Contact Information:Tel.: 86 0411-84708406 Email: leizk@dlut.edu.cn
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