Research on the Application of BP Neural Networks in 3D Reconstruction Noise Filter

摘要

At present, in the most of the digital image system, the input image is used to freeze the multi-dimensional image scanning way again into a one dimensional signal, then carries on the processing, storage, transmission and processing. Finally tend to form multi-dimensional image signal, and the image noise will also be decomposed and compounded. Electrical systems and outside influences in these procedures will enable precise analysis of complexity of image noise. According to off-line learning method of neural networks, this paper focus on the noise filter in the 3Dreconstruction process in order to make the image clearer.