Research on Wavelet Threshold Denoising Algorithm for Fuzzy Video Images

Because of the wavelet threshold de-noising algorithm of the traditional fuzzy video image, the resolution image can not be greatly improved. A wavelet threshold de-noising algorithm for fuzzy video image is proposed. The fusion of fuzzy video images is carried out. First, we use the spatial similarity transformation model of gravity center to form the coarse registration model of multispectral images, and detect the edge points and non edge points of high resolution images. A fuzzy video image denoising model is established, and the important edge information and texture information of the image are extracted to get the independent component features of the image, and the optimization of the wavelet threshold denoising algorithm of the fuzzy video image is completed. The experimental results show that the proposed algorithm has good denoising effect on the fuzzy video image, and can complete the high precision denoising of the video image and the point cloud at any angle.