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- Title
An improved algorithm of multi-exposure image fusion by detail enhancement.
- Authors
Qu, Zhong; Huang, Xu; Liu, Ling
- Abstract
Multi-exposure image fusion is an effective method for depicting high dynamic range of the target scene in a single image. However, there are still some problems remaining: the preserving of global contrast, the preserving of the local details in saturated regions, and the existence of halo artifacts. To solve these problems, this paper proposes a new multi-exposure image fusion algorithm with detail enhancement. Firstly, the well-exposedness evaluation function, the chromatic information evaluation function and the local detail preserved function are used to measure weight maps. Then, an improved multi-exposure fusion framework based on pyramid decomposition is proposed to further enhance the details. The experimental results demonstrate that the proposed algorithm can preserve more details than the state-of-the-art. In the view of appreciation, our approach could produce a more realistic brightness distribution of target scene as well as avoid halo artifacts.
- Subjects
IMAGE fusion; IMAGE enhancement (Imaging systems); MATHEMATICAL decomposition; ALGORITHMS; WEIGHTS &; measures
- Publication
Multimedia Systems, 2021, Vol 27, Issue 1, p33
- ISSN
0942-4962
- Publication type
Article
- DOI
10.1007/s00530-020-00691-4