Exposure Image Fusion of Enhancing Detail Visibility Based on Contrast Adjustment

-To extract fine details from input bracketed images and preserve them in the final image, a novel exposure fusion method based on the nonsubsampled contourlet transform (NSCT) is presented in this paper,in which unique visual weight map is used for the detail extraction and an improved weight measurement is developed to remove the motion objects in dynamic scenes. Furthermore, a fast algorithm for contrast enhancement is applied to adjust the contrast of decomposition subbands and gain control is also introduced to modify the visibility of the blended subbands at different scales. Finally, the resulting image with more visible details is reconstructed by the inverse NSCT. Experimental results demonstrate that the proposed method can preserve fine details and produce sharper images, especially in enhancing detail visibility in the dark areas. Key-Words: Exposure fusion, NSCT, Weight map, Contrast enhancement, Gain control