Adaptive infrared image pre-processing based on lateral inhibition

According to the properties of infrared image under the complex sea and air background, an adaptive infrared image pre-processing method based on lateral inhibition is proposed. By making use of the changes of variance weighted information entropy in images with different background, the correlation between variance weighted information entropy and appropriate function adjustment factors of the lateral inhibition network is established. Therefore, the role of lateral inhibition strength is adjusted adaptively for different actual scenes, and an adaptive processing method for real-time infrared sequence image under different background condition is realized. Simulation experiments show that the method can effectively improve the SCR performance of infrared images, and has the ability of identifying the detail of target characteristics and adapting to complex backgrounds.