Abstract: Due to the influence of various factors such as sensor factors, weather factors, human factors, et al, the images obtained by UAVs have uneven distribution of brightness and hue in different degrees during acquisition. The image is processed with uniform light and color. In this study, two color-leveling algorithms are proposed, the mean algorithm and the parameter algorithm based on the camera response function. The algorithms are implemented through Python language programming, which are applied to the UAV images of the real 3D data construction area in Zhenjiang city, and the experimental results are evaluated and analyzed. Experiments show that both algorithms can better remove chromatic aberration, make the tone transition more gentle, and optimize the effect of the 3D scene in the later stage.

Key words: UAV image, uniform light and color, average algorithm, function algorithm