Infrared target detection method based on local sparse representation and contrast

The invention discloses an infrared target detection method based on local sparse representation and contrast. The infrared target detection method comprises the following steps of 1, firstly, setting the original infrared image; on the basis of local sparse representation concept, designing a method based on an inner product, and building a non-similarity dictionary of each image block; according to the dictionary, calculating a residual image block of each image block; finally, calculating the residual image of the whole image; 2, predicting a candidate target area in the original infrared image by a gray scale contrast method, so as to obtain a target predicting image; 3, integrating the residual image and the target predicting image, precisely positioning the target, and performing binarization segmentation, so as to obtain the final target detection result. The infrared target detection method has the advantages that the residual image is calculated by the local sparse representation and inner product me