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.