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Nonlinear Diffusion Equation for Image Denoising Method based on Gradient Fidelity Term

机译:基于梯度保真术语的图像去噪方法的非线性扩散方程

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This article introduces the gradient fidelity term into the functional model of the image denoising to obtain a new denoising functional model and derive the relative nonlinear diffusion denoising model. The new model has been proved that the bounded variation function is integrable, which will get rid of the problem of edge leaking. According to the experimental results, the application of this model is to prevent the "ladder" effect, the result of piecewise smooth can be acquired with more natural visual effects, meanwhile, the method has been proved more stable for the value calculation and has higher computational efficiency.
机译:本文将梯度保真度术语介绍到图像去噪的功能模型中,以获得新的去噪功能模型,得到相对非线性扩散去噪模型。已证明新模型已被界限变化功能是可集成的,这将摆脱边缘泄漏问题。根据实验结果,该模型的应用是防止“梯形”效果,可以通过更自然的视觉效果获得分段光滑的结果,同时,该方法已被证明对价值计算更稳定并具有更高的稳定性计算效率。

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