Pixel-wise exposure control for single-shot HDR imaging: A joint optimization approach

被引:0
作者
Liang, Yu [1 ]
Huang, Honghao [1 ]
He, Yutong [1 ]
Hu, Chengyang [1 ]
Yang, Sigang [1 ]
Chen, Hongwei [1 ]
机构
[1] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol BNRist, Dept Elect Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
CAMERA; RECONSTRUCTION; SENSORS; DESIGN;
D O I
10.1063/5.0207363
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Dynamic range is one of the primary limitations that restricts digital image sensors from acquiring more visual information. Current high dynamic range (HDR) imaging techniques entail a trade-off between dynamic range and visual fidelity. In this work, we propose a HDR imaging method, termed PE-HDR, to achieve both a wide dynamic range and high visual fidelity without additional complex post-processing algorithms. Instead of merging a bracketed exposure sequence, the PE-HDR captures HDR images in a single shot using optical coded pixel-wise exposure control, enabling cost-effective and flexible HDR imaging. By incorporating a differentiable optical encoder and a neural network decoder, we jointly optimize the imaging pipeline from light irradiance to digital image signals, thereby refining the pixel-wise exposure control strategy and improving image fidelity. Both simulations and experiments demonstrate that the proposed method achieves a dynamic range of up to 120 dB and an excellent visual fidelity with spatial resolution of up to 2560 x 1600 pixels. (c) 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:13
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共 80 条
  • [1] Alghamdi Q., 2019, VMV 2019
  • [2] The Moore-Penrose Pseudoinverse: A Tutorial Review of the Theory
    Alves Barata, Joao Carlos
    Hussein, Mahir Saleh
    [J]. BRAZILIAN JOURNAL OF PHYSICS, 2012, 42 (1-2) : 146 - 165
  • [3] [Anonymous], 1999, P C COMPUTER VISION, DOI [DOI 10.1109/CVPR.1999.786966, 10.1109/CVPR.1999.786966]
  • [4] Banterle F., 2006, P 4 INT C COMP GRAPH, P349
  • [5] Banterle Francesco, 2017, Advanced High Dynamic Range Imaging
  • [6] On the use of deep learning for computational imaging
    Barbastathis, George
    Ozcan, Aydogan
    Situ, Guohai
    [J]. OPTICA, 2019, 6 (08): : 921 - 943
  • [7] Bengio Y, 2013, Arxiv, DOI arXiv:1308.3432
  • [8] Bub G, 2010, NAT METHODS, V7, P209, DOI [10.1038/nmeth.1429, 10.1038/NMETH.1429]
  • [9] Carey Stephen J., 2013, 2013 Symposium on VLSI Circuits, pC182
  • [10] Microlens array camera with variable apertures for single-shot high dynamic range (HDR) imaging
    Cha, Young-Gil
    Na, Jiwoong
    Kim, Hyun-Kyung
    Kwon, Jae-Myeong
    Huh, Seok-Haeng
    Jo, Seung-Un
    Kim, Chang-Hwan
    Kim, Min H.
    Jeong, Ki-Hun
    [J]. OPTICS EXPRESS, 2023, 31 (18) : 29589 - 29595