Authors
Kede Ma, Hui Li, Hongwei Yong, Zhou Wang, Deyu Meng, Lei Zhang
Publication date
2017/2/20
Journal
IEEE Transactions on Image Processing
Volume
26
Issue
5
Pages
2519-2532
Publisher
IEEE
Description
We propose a simple yet effective structural patch decomposition approach for multi-exposure image fusion (MEF) that is robust to ghosting effect. We decompose an image patch into three conceptually independent components: signal strength, signal structure, and mean intensity. Upon fusing these three components separately, we reconstruct a desired patch and place it back into the fused image. This novel patch decomposition approach benefits MEF in many aspects. First, as opposed to most pixel-wise MEF methods, the proposed algorithm does not require post-processing steps to improve visual quality or to reduce spatial artifacts. Second, it handles RGB color channels jointly, and thus produces fused images with more vivid color appearance. Third and most importantly, the direction of the signal structure component in the patch vector space provides ideal information for ghost removal. It allows us to …
Total citations
20172018201920202021202220232024831386053635932
Scholar articles
K Ma, H Li, H Yong, Z Wang, D Meng, L Zhang - IEEE Transactions on Image Processing, 2017