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Resolution enhancement for topography measurement of high-dynamic-range surfaces via image fusion

Wang, Jian; Su, Rong; Leach, Richard; Lu, Wenlong; Zhou, Liping; Jiang, Xiangqian

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Authors

Jian Wang

Rong Su

Wenlong Lu

Liping Zhou

Xiangqian Jiang



Abstract

In this paper, we introduce a method and algorithm for resolution enhancement of low-resolution surface topography data by fusing it with corresponding high-resolution intensity images. This fusion is carried out by linking the three-dimensional topographical map to its intensity image via an intrinsic image-based shape-from-shading algorithm. Through computational simulation and physical experiments, the effectiveness of the proposed method and the repeatability have been evaluated, and the computational cost has been shown to be less than other state-of-the-art algorithms. This proposed method can be easily integrated with high-speed in-line measurements of high-dynamic-range surfaces.

Citation

Wang, J., Su, R., Leach, R., Lu, W., Zhou, L., & Jiang, X. (2018). Resolution enhancement for topography measurement of high-dynamic-range surfaces via image fusion. Optics Express, 26(26), 34805-34819. https://doi.org/10.1364/OE.26.034805

Journal Article Type Article
Acceptance Date Nov 14, 2018
Online Publication Date Dec 21, 2018
Publication Date Dec 24, 2018
Deposit Date Nov 15, 2018
Publicly Available Date Mar 28, 2024
Journal Optics Express
Electronic ISSN 1094-4087
Publisher Optical Society of America
Peer Reviewed Peer Reviewed
Volume 26
Issue 26
Pages 34805-34819
DOI https://doi.org/10.1364/OE.26.034805
Public URL https://nottingham-repository.worktribe.com/output/1269693
Publisher URL https://www.osapublishing.org/oe/abstract.cfm?uri=oe-26-26-34805
Additional Information This article is maintained by: OSA - The Optical Society; Crossref DOI link to publisher maintained version: https://doi.org/10.1364/OE.26.034805; Article type: research-article; Similarity check: Screened by Similarity Check; Peer reviewed: Yes; Review process: Single blind; Received: 19 September 2018; Accepted: 13 November 2018; Published: 21 December 2018; Copyright: © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

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