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Design of high resolution panoramic annular lens system
Author(s): Jia Wang; Xiao Huang; Jian Bai; KaiWei Wang; Yongxiao Hua
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Paper Abstract

Panoramic annular lens (PAL) system consists of a panoramic head block unit and a relay lens system, adopting a plane cylindrical projection method to project a cylindrical field of view around the optical axis 360° into a two-dimensional planar annular region to realize super hemispherical imaging. PAL system requires large field of view imaging on a limited image plane, which inevitably results in lower image resolution and poor local detail imaging. However, the information processing speed gets faster with the development of 5G, which leads to a growing demand for better image quality and clarity. This paper presents a PAL system matching image sensors with 4K resolution, which can demonstrate the details about the object and get a smooth and ultra-high definition image. Unlike other sensors, it has large image faces and tiny pixels and the effective number of the pixel is about 24.3 million (4K × 6K). The proposed PAL system has 6 sets of 9 lenses with compact structure. The F-theta distortion of the full field of view is less than 1%, and the modulation transfer function value of each field of view is greater than 0.5 at the Nyquist spatial frequency of 130lp/mm which approaches diffraction limitation. The designed system has good imaging quality and meets the application requirements.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113382I (18 December 2019); doi: 10.1117/12.2547629
Show Author Affiliations
Jia Wang, State Key Lab. of Modern Optical Instrumentation (China)
Xiao Huang, State Key Lab. of Modern Optical Instrumentation (China)
Jian Bai, State Key Lab. of Modern Optical Instrumentation (China)
KaiWei Wang, State Key Lab. of Modern Optical Instrumentation (China)
Yongxiao Hua, Zhejiang Zhongke Light Inscription AU Optronics Co. (China)


Published in SPIE Proceedings Vol. 11338:
AOPC 2019: Optical Sensing and Imaging Technology
John E. Greivenkamp; Jun Tanida; Yadong Jiang; HaiMei Gong; Jin Lu; Dong Liu, Editor(s)

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