• Acta Optica Sinica
  • Vol. 40, Issue 1, 0111015 (2020)
Jing Peng1、2, Hui Li1、2、3、*, and Yuntao Wu1、2、**
Author Affiliations
  • 1School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, Hubei 430205, China
  • 2Hubei Key Laboratory of Intelligent Robot, Wuhan, Hubei 430205, China
  • 3School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
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    DOI: 10.3788/AOS202040.0111015 Cite this Article Set citation alerts
    Jing Peng, Hui Li, Yuntao Wu. High Resolution Nonperiodic View Extraction Algorithm Based on Light Field[J]. Acta Optica Sinica, 2020, 40(1): 0111015 Copy Citation Text show less

    Abstract

    In light field imaging, the view extraction resolution and data accuracy cannot be balanced. To solve this problem, a nonperiodic view extraction algorithm is proposed herein. First, the microlens array sampling principle is analyzed, and center offset of each microlens is calculated. To analyze the range of the view angle, the projection area of each microlens is calculated by synthesizing multiple viewpoints. Finally, the nonperiodic extraction of pixel blocks is utilized to form a view. A Lytro camera is utilized to obtain light field data, and a nonperiodic algorithm is used to extract 2×2 and 3×3 pixel blocks to form views. Compared to the traditional method, the proposed method improves the resolution by 2×2 and 3×3 times, while simultaneously improving the image quality.
    Jing Peng, Hui Li, Yuntao Wu. High Resolution Nonperiodic View Extraction Algorithm Based on Light Field[J]. Acta Optica Sinica, 2020, 40(1): 0111015
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