Abstract
Applying partial differential equation(PDE) theory,an improved algorithm of nonlinear image de-noising and enhancement was proposed based on partial differential equation by improving traditional Perona Malik nonlinear diffusion model.The image is transformed to the gradient field to achieve the purpose of image de-noising and enhancement through changing the gradient field diffusion function.Compared with the traditional spatial and frequency domain image de-noising algorithms,this algorithm can not only filter off image noise effectively,but also maintain better image texture details.This paper uses the finite difference method to discrete the partial differential equation.And it combines with the heat equation to simplify the computational complexity.So the computational process of this algorithm is simple and fast.It provides a guarantee for real-time image de-noising and enhancement processing.
Published Version
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