为了能够更好地去除混合噪声,在αβω(ABO)图像去噪模型的基础上,提出了一种结合分数阶偏微分方程和MCM模型的混合噪声去除模型.该模型不仅能有效地去除图像中的椒盐噪声和高斯噪声,同时还可以较好地保留和增强图像中的边缘纹理信息.实验以峰值信噪比(PSNR)和均方根误差(RMSE)对去噪性能进行度量,证明了该方法的有效性.%In order to remove the mixed noise efficiently,a hybrid image denoising model is proposed which is based on fractional-order partial differential equation and MCM model.The new model can not only eliminate the pepper noise and Gaussian noise effectively,but also retain and enhance the edge texture details of image.The experimental results can be measured by the PSNR and RMSE.Finally,the validity of the proposed model can be proved through the experiments.
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