TY - JOUR
T1 - Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion
AU - Li, Hui
AU - Ma, Kede
AU - Yong, Hongwei
AU - Zhang, Lei
N1 - Publisher Copyright:
© 1992-2012 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - Exposure bracketing is crucial to high dynamic range imaging, but it is prone to halos for static scenes and ghosting artifacts for dynamic scenes. The recently proposed structural patch decomposition for multi-exposure fusion (SPD-MEF) has achieved reliable performance in deghosting, but suffers from visible halo artifacts and is computationally expensive. In addition, its relationship to other MEF methods is unclear. We show that without explicitly performing structural patch decomposition, we arrive at an unnormalized version of SPD-MEF, which enjoys an order of 30\times speed-up, and is closely related to pixel-level MEF methods as well as the standard two-layer decomposition method for MEF. Moreover, we develop a fast multi-scale SPD-MEF method, which can effectively reduce halo artifacts. Experimental results demonstrate the effectiveness of the proposed MEF method in terms of speed and quality.
AB - Exposure bracketing is crucial to high dynamic range imaging, but it is prone to halos for static scenes and ghosting artifacts for dynamic scenes. The recently proposed structural patch decomposition for multi-exposure fusion (SPD-MEF) has achieved reliable performance in deghosting, but suffers from visible halo artifacts and is computationally expensive. In addition, its relationship to other MEF methods is unclear. We show that without explicitly performing structural patch decomposition, we arrive at an unnormalized version of SPD-MEF, which enjoys an order of 30\times speed-up, and is closely related to pixel-level MEF methods as well as the standard two-layer decomposition method for MEF. Moreover, we develop a fast multi-scale SPD-MEF method, which can effectively reduce halo artifacts. Experimental results demonstrate the effectiveness of the proposed MEF method in terms of speed and quality.
KW - computational photography
KW - high dynamic range imaging
KW - Multi-exposure fusion
UR - http://www.scopus.com/inward/record.url?scp=85084372780&partnerID=8YFLogxK
U2 - 10.1109/TIP.2020.2987133
DO - 10.1109/TIP.2020.2987133
M3 - Journal article
SN - 1057-7149
VL - 29
SP - 5805
EP - 5816
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
M1 - 9069473
ER -