根据经典总体变差恢复模型，设计了一种新型的应用于图像去噪的数字TV滤波器的一种算法。
Based on the classical total variation restoration model, we design a new nonlinear algorithm of digital TV filter for image de-noising.
仿真结果显示，复合余弦基神经网络图像去噪滤波器各项特性接近理想滤波器。
The simulation results reached nearly ideal filter characteristics, and the performance of removing image noise using this filter was compared with the median filter.
采用非线性滤波方法处理图像去噪问题时，阈值参数的选取和滤波器函数的使用对去噪图像的效果影响极大。
When images are denoised by means of nonlinear filtering algorithms, the selections of the threshold parameter and the filter function tend to have great effects on the quality of the denoised images.
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