Aiming at the problem of image enhancement, a systematic method combining high dynamic range fusion and super-resolution fusion is proposed. Calibrating the camera to simulate the photometric characteristics of the camera to obtain an estimated response curve for the camera; performing an automated image acquisition process to capture multiple input images at different viewing angles and different camera parameters (e.g., different exposure times) as a function of the variations required for proper image fusion; For tone mapping, a gradient-domain fusion method is used to compress the luminance map into the intensity domain, preserving as much detail as possible in the final image while still maintaining a realistic appearance; for the image fusion step, photometric and geometric registration are performed to establish the correspondence between pixels in the input image. The final enhanced image is obtained by image fusion with the goal of improving resolution and maximizing dynamic range. The results of images taken by different types of cameras show that the system and method are feasible.