Paper
31 May 2023 Rapid axial scanning system for acquisition of defocus-enhanced dataset
Author Affiliations +
Proceedings Volume 12711, Third Optics Frontier Conference (OFS 2023); 127110X (2023) https://doi.org/10.1117/12.2684981
Event: Third Optics Frontier Conference (OFS 2023), 2023, Fuyang, China
Abstract
Defocus blur in images is often the result of inadequate camera settings or depth of field restrictions. In recent years, with the emergence and advancement of deep learning, learning representation-based methods have achieved remarkable success in the field of image defocus enhancement. In this paper, a rapid axial scanning system was proposed for efficient acquisition of defocused-enhancement datasets. A multi-focus image sequence with different focus depths of a same scene is captured, and it is utilized to generate a full-focus image (ground truth) through image fusion, to build a set of defocused enhancement datasets. Multiple defocused-enhancement datasets can be obtained based on this approach. Experimental results confirm the feasibility and effectiveness.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zilong Li, Jiaqing Dong, Guijun Wang, Wenhua Zhong, Qiegen Liu, and Xianlin Song "Rapid axial scanning system for acquisition of defocus-enhanced dataset", Proc. SPIE 12711, Third Optics Frontier Conference (OFS 2023), 127110X (31 May 2023); https://doi.org/10.1117/12.2684981
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KEYWORDS
Image fusion

Cameras

CCD cameras

Deep learning

Optical scanning systems

Detection and tracking algorithms

Education and training

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