A partial differential equation (PDE) - based technique for filtering the Poisson noise from digital images is proposed in this work. It is based on a nonlinear second-order anisotropic diffusion-based model that is adapted for the Poisson distribution. The considered PDE model is well-posed and its unique and weak solution is computed using a finite difference-based numerical approximation scheme that is consistent to the proposed model. The proposed approach provides an effective feature-preserving Poisson denoising. Some results of our filtering simulations are also described in this paper.
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