基于小波神经网络的激光散斑图像去噪技术研究

提出基于小波神经网络的图像去噪方法,该方法兼有小波分析的良好时频域特性和神经网络的自适应能力.实验结果表明,该方法在去除噪声上优于中值滤波等传统去噪声方法,其散斑指数较小,峰值信噪比较大,在有效去除噪声同时,又能很好地保护图像的细节信息.

Filtering Technology of Laser Speckle Image Based on Wavelet Neural Network

An image noise-filtering method based on wavelet neural network was put forward,which has good time-frequency features of the wavelet analysis and the adaptive ability of neural network.Experimental results showed that the method excels traditional noise-filtering method such as median filtering method in noise-filtering;it has lower speckle index and high PSNR;it is effective in noise removal and good at protection of detail information of images.