Adaptive Image Edge Preserving Denoising Method based on Variational Fractional PDEs
The study aims to optimize the edge fidelity in the process of image denoising.On the basis of the ROF model and its improved model,this paper proposes an image denoising model based on adaptive fractional-order variational PDE by constructing an adaptive edge detection function,which can better protect image edge features of the image,maintain texture details and suppress staircase effects.The denoising effect of the new model was tested with standard images.Experimental results show that,compared with other contrastive methods,the new method can not only effectively improve the signal to noise ratio(SNR)of images but also adaptively preserve the structural information of the images.The proposed method can be applied in the fields of remote sensing imaging,medical imaging,seismic image processing.
万方数据
维普
