Acta Optica Sinica, Volume. 42, Issue 16, 1610001(2022)

Scene Disparity Reconstruction from Light Field Based on Fourier Disparity Layer Representation

Fei Wei, Chang Liu*, and Jun Qiu
Author Affiliations
  • Institute of Applied Mathematics, Beijing Information Science and Technology University, Beijing 100101, China
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    Disparity estimation is an important technique in the field of computational imaging. A calculation framework for reconstructing scene depth information from the Fourier disparity layer (FDL) is provided. A new method of deconstructing the disparity layer (DL) of the scene for achieving disparity reconstruction in the transform domain of the light field on the basis of FDL representation is realized. FDL is reconstructed with light field data, and the corresponding DL is obtained by inverse Fourier transform of FDL. Normalized cross-correlation (NCC) is applied to measure the correlation of the pixels in DL images with those in central view images to achieve the accurate reconstruction of scene disparity. Experimental results of both simulation data and real data show that the proposed method can effectively perform accurate scene disparity reconstruction.

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    Fei Wei, Chang Liu, Jun Qiu. Scene Disparity Reconstruction from Light Field Based on Fourier Disparity Layer Representation[J]. Acta Optica Sinica, 2022, 42(16): 1610001

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    Paper Information

    Category: Image Processing

    Received: Feb. 14, 2022

    Accepted: Mar. 7, 2022

    Published Online: Aug. 4, 2022

    The Author Email: Liu Chang (liuchang@bistu.edu.cn)

    DOI:10.3788/AOS202242.1610001

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