High dynamic range imaging technique can avoid the brightness loss and aberration of the images because of shooting direction such as backlight and different exposures, which will affect the information collection of real scene. The technique is in favor of higher quality imaging in the complex environment and widely used in pattern recognition, intelligent transportation system, remote sensing, military reconnaissance and other research areas. Camera response function calibration is the key to the high dynamic range imaging technique, which can establish the mapping relation between real scene irradiance and acquired image brightness values. Thus the high dynamic range images in actual scene are acquired. The proposed algorithm can acquire the camera response function of the imaging system by single frame input image, and the calibration efficiency is enhanced greatly. Which is suitable for the under-exposure and over-exposure images, and expands the application range of camera response function calibration.