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Airborne infrared high dynamic range signal compression display method based on CLAHE

Infrared imaging has been widely used in military and civil applications. For the characteristics of high dynamic range and concentrated area of interest of airborne infrared signals, this paper proposes a high dynamic signal compression display method based on CLAHE (contrast-constrained adaptive histogram equalization). The method first classifies sub-images by dynamic range, linearly compresses sub-images with small dynamic range to prevent them from increasing noise by over-amplification, and uses histogram statistical information to segment background and target for sub-images with large dynamic range to retain as much target display information as possible. Through multi-scene imaging display and PSNR calculation, it is verified that the algorithm in this paper can effectively suppress the background, enhance the contrast of the image in the region of interest, and improve the airborne infrared imaging display.