A multi-scale patch-wise algorithm for multi-exposure image fusion

Abstract

Multi-exposure fusion is a high dynamic range image generation method. The challenge it faces is to reconstruct artifact-free high dynamic range images for dynamic scenes containing moving objects. This paper proposes a structural patch decomposition algorithm based on the Laplacian pyramid to obtain high dynamic range images without artifacts. This paper discusses the relationship between the total exposure quality score and the number of poorly exposed pixels and proposes a robust reference image selection method. It avoided the local exposure distortion in the fused image caused by the improper selection of reference images and improved the algorithm’s fusion effect in dynamic scenes. More importantly, this paper inject a new fusion mechanism into the conventional Laplacian pyramid fusion framework, namely the non-standardized structural patch decomposition algorithm. While retaining its original advantages, it reduces the computational complexity of the algorithm. Experimental results on dynamic and static scenes show that the proposed algorithm can generate fused images with a clear structure and almost no halo artifacts.