Infrared imaging denoising processing based on regulargranule resampling algorithm

The regular granule heavy sampling algorithm is proposed for solving the deterioration of the granules in the infrared imaging denoising process. The granule cloud is obtained by the algorithm based on the granule resampling which can eliminate the phenomena of the granule diversity vanishing and granule want, the granules with great weight value observed at the next moment are marked to make the granule weight value more stable by adding some auxiliary granules, and then an infrared imaging denoising model of a moving object is established. The experimental result indicates that the method makes the effect of the infrared imaging denoising much better, and the imaging definition above 95%.