Infrared Dim and Small Target Background Suppression Based on Improved Anisotropy Filtering

摘要

Infrared small target is easy submerged in the complex background, to improve the ability of detecting target, which by inhibiting the background to enhance the target signal. Focusing on the shortcomings of the isotropic background prediction method, a kind of improved anisotropic infrared background prediction method (IABP) is proposed. According to differences of local gradient character among target region, smooth background region and undulate background region, the edge stopping function of anisotropic partial differential equation is improved. Then the mean of the two least values of the edge as the prediction value of the background. Finally in order to extract the candidate target and reduce the false alarm rate of the real target, which the difference between the background image and the original image is processed. Experimental results show that: 1) improved anisotropy of background prediction for different scenes can obtain good background prediction effect; 2) improved anisotropic background predication for the signal-noise ratio (SNR) was lower than 2.3db could be loyal to the true background of the original image to the maximum extent, presenting a superior overall performance to other background prediction methods.