Quantum-inspired Enhancement Algorithms of Electron Microscope Images
CUI Fa-yi1,2
1. Key Lab of Measurement Technology & Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
2. School of Electrical Engineering, Yanshan University,Qinhuangdao, Hebei 066004, China
Abstract：Under the framework of quantum information processing, the processing procedures of existing quantum-derived image enhancement algorithms are summarized from the aspects of pixel grayscale normalization, pixel quantum state representation, quantum measurement, and measurement result mapping. Taking the SARS-CoV-2 new coronavirus electron microscope image enhancement as a sample, combined with experimental analysis, the weighting method of the quantum derived enhancement operator is improved, and a non-iterative determination operator for the optimized value of the adjustable parameter of the gray scale transformation is proposed. The experimental results show that the quantum-derived enhancement algorithm comprehensively considers the global and local information of the electron microscope image, takes into account the adjustment of the contrast and brightness of the electron microscope image, and enhances the image with clear details and appropriate brightness.
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2021, Vol. 42 
