Multi-exposure image fusion for dynamic scenes with ghosting removal

Abstract

Multi-exposure image fusion algorithms in dynamic scenes usually have ghosts. Most of the existing ghost-free methods have complex calculations and the details will be lost. To solve these problems, we present a multi-exposure fusion method, which can remove ghosts and preserve more details of the image. The method detects ghost images by the improved frame difference method and calculates the early weight maps, combining the ghost detection binary image and initial weight maps to redefine weight maps. Then with the improved Laplacian pyramid algorithm, a high-quality image with more details is fused quickly. This is a significant improvement over existing techniques by objective and subjective comparisons.