神经网络识别图像椒盐噪声的自适应滤波方法

为了使椒盐噪声不影响图像的后续处理,提出一种基于BP神经网络噪声检测的自适应开关滤波器来检测和滤除图像椒盐噪声.该方法利用像素值及其邻域特性作为像素点的描述即神经网络的输入,通过神经网络自动检测图像的噪声位置,据此保持非噪声点不变,对噪声点进行自适应窗口大小的均值滤波处理,且仅窗口内非噪声点参与均值运算.实验结果表明,...

An Adaptive Denoising Method for Salt and Pepper Noise Detected by Neural Network

To remove impulse noise from image before some other process, an adaptive switching filter based-on neural network noise detector is proposed. This method describes each pixel with pixel value and its neighborhood characteristics and takes these as inputs of the neural network to identify pixels which are likely to be contaminated by noise with the trained neural network automatically. According to the idea of switching filter, the noisy pixels detected are processed by mean filter with adaptive window size...