Multi-exposure image fusion method based on color gradient histogram feature optical flow estimation

The invention relates to a multi-exposure image fusion method based on color gradient histogram feature optical flow estimation. The method comprises the following steps: S100, extracting color direction gradient histogram features from a multi-exposure image sequence; s200, performing optical flow estimation based on color direction gradient features; s300, constructing a brightness evaluation factor, a color evaluation factor and a structure evaluation factor; s400, obtaining an improved weight fusion function; and S500, obtaining a high dynamic range image. According to the invention, image color information is introduced and pixel space neighborhood information is combined, so that the robustness of the algorithm to brightness change is improved; meanwhile, in the multi-exposure image sequence fusion process, the influence of multiple factors such as brightness information, local structure information and color information of the multi-exposure image on the quality of the fused image is fully considered,