Study, Time-domain Filtering Techniques Based On Motion Detection, Night Vision Image

With the application of the digital processing technique, the improvement of image quality was achieved successfully. For the moment we have done great research work in the field of noise suppressing. However the noise of night vision image still affected image quality seriously. For example, as to the moving image , when we use the algorithms of multiframe averaging and frame integration to reduce the noise, they will also bring the phenomenon of hauling tail and moving blur; frame integration will probably cause the overflowing of image greyscale.This thesis brings forward some new advanced techniques to the conventional algorithms of the multiframe averaging and frame integration, such as adding motion compensation to timing filtering, using statistical algorithm to control 2D-TDI and reforming greyscale of image to avoid overflowing, etc. These algorithms were simulated on the computer and the improvement of image quality was validated.