The space-based visible observation imaging platform for sky targets is influenced by many factors, a serious factor is the light of background too bright. A image with the bright stray light background has some high gray areas those may submerge the targets info. Aimed at the shortcomings of traditional background removal method in target extraction under the bright stray light background, according to the differences of bright stray light background and sky targets imaging characteristics, this paper has made some research of the algorithms about how to remove the bright stray light background but not delete the targets info. The algorithm we got that give us great results will be shown in the paper. It solves the problems of the bright background light removal and greatly retain the targets info which submerged in the bright areas.
Stray light noise removal method of star maps based on intensity prior