Detail-Preserving Multi-exposure Fusion for DR Images of Turbine Blades with Local Contrast Analysis and Exposure Intensity
Published 2023 View Full Article
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Title
Detail-Preserving Multi-exposure Fusion for DR Images of Turbine Blades with Local Contrast Analysis and Exposure Intensity
Authors
Keywords
-
Journal
JOURNAL OF NONDESTRUCTIVE EVALUATION
Volume 42, Issue 4, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-11-07
DOI
10.1007/s10921-023-01008-x
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- Exposure Fusion: A Simple and Practical Alternative to High Dynamic Range Photography
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- (2008) Herbert Bay et al. COMPUTER VISION AND IMAGE UNDERSTANDING
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