Wavelet-Based Multi-Exposure Image Fusion

Abstract

This paper proposes a novel wavelet-based algorithm for the fusion of multi-exposed images. The luminance inversion is suppressed by introducing the brightness of input images into the well-exposedness weight. The weight is used to fuse the approximate sub-bands of the input images in the wavelet domain. At the same time, the detail sub-bands of the input images are fused by the adjusted contrast weight to avoid losing details around the strong edges. Besides, a novel enhancement function was proposed to enhance the contrast of the fused image. The experiments illustrate that the proposed method is able to effectively preserve details, enhance contrast, and maintain consistency with the luminance distribution of the input images.