Paper
19 July 2024 Enhancing super-resolution performance in camera array: the selection of reference camera
Yu Zhang, Tianren Li, Yufu Qu, Zhenzhong Wei
Author Affiliations +
Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131813N (2024) https://doi.org/10.1117/12.3031219
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China
Abstract
This study introduces a novel method for analyzing how the choice of a reference camera influences the super-resolution reconstruction in camera array imaging systems. Through a combination of simulations and experimental validations, it becomes evident that traditional, uniformly arranged camera systems often fall short of achieving optimal super-resolution effects, irrespective of the reference camera chosen. The introduction of a central camera into this conventional arrangement, either by adding it or substituting an existing camera, not only yields improved super-resolution outcomes but also significantly enhances the system's robustness to variations in object distance. This advancement notably elevates the functional utility of sparse camera array systems in practical applications.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yu Zhang, Tianren Li, Yufu Qu, and Zhenzhong Wei "Enhancing super-resolution performance in camera array: the selection of reference camera", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131813N (19 July 2024); https://doi.org/10.1117/12.3031219
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KEYWORDS
Cameras

Super resolution

Image quality

Image restoration

Simulations

Imaging systems

Image processing

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