A Multi-resolution Image Fusion Algorithm Based on Multi-factor Weights

摘要

Digital image sequences taking from the same scene with different exposures often show underexposed or overexposed areas, which make details of the highlight or shadow zones get lost. Image fusion technology aims to solve this problem. However, most of image fusion algorithms are too complex and time-consuming. By analyzing the multi-resolution image fusion method, a simple, low complexity algorithm for multi-exposure image fusion is proposed in this paper, which is designed to combine three measuring factors of gradient, standard deviation and moderate exposure. To generate the weight diagram of original multi-exposure images, the fusion algorithm assigns weights to pixels of digital images by measuring factors, and is carried out on per pixel basis, thus it is highly efficient in terms of computational complexity. The experimental results show that the algorithm can obtain high-contrast fusion image with greater information entropy.