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20240229162749.0 |
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231225s2020 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2020.2987133
|2 doi
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|a (NLM)32310768
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Li, Hui
|e verfasserin
|4 aut
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|a Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion
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|c 2020
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Revised 27.02.2024
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|a published: Print-Electronic
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|a Citation Status Publisher
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|a 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× 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
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|a Journal Article
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| 700 |
1 |
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|a Ma, Kede
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yong, Hongwei
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhang, Lei
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g (2020) vom: 16. Apr.
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
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|g year:2020
|g day:16
|g month:04
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|u http://dx.doi.org/10.1109/TIP.2020.2987133
|3 Volltext
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|j 2020
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