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A novel partial differential equation (PDE) - based denoising framework for photon-limited medical microscopy images is proposed in this article Such a microscopy image processing approach could be further applied in the analysis of the medical images of viruses and bacteria, thus being useful in the context of the current coronavirus pandemic The considered technique is based on a nonlinear hyperbolic second-order PDE model The differential model is then solved numerically by applying a consistent and fast converging finite difference-based iterative approximation algorithm to it The numerical approximation scheme provided here removes successfully the Poisson noise from the microscopy images representing viruses like COVID-19, while enhancing their essential details and thus facilitating their analysis Quantum denoising experiments and method comparison results are also described © 2020 Editura Academiei Romane All rights reserved
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Romanian_Journal_of_Information_Science_and_Technology
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A nonlinear second-order hyperbolic pde-based photon- limited medical microscopy image restoration technique
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