OpenRefocus: an open-source Qt-based tool for light field parallel refocusing

Gu, Yuanjie; Yu, Miao; Ai, Lingyu; Jiang, Zhilong; He, Xiaoliang; Kong, Yan; Liu, Cheng; Wang, Shouyu

doi:10.1117/1.oe.61.6.063108

Cited by 1 publication

(2 citation statements)

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“…32 focused at different planes via our previously proposed OpenRefocus. 33 Only parts of the image are in focus, as shown in the zoomed-in fields of interest in Figs. 4(b)-4(e); the rest is out of focus.…”

Section: Dfp Applied For Plenoptic Super-resolution All-in-focus Imagingmentioning

confidence: 99%

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Deep fusion prior for plenoptic super-resolution all-in-focus imaging

Gu¹,

Guan

Xiao³

et al. 2022

Opt. Eng.

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Plenoptic imaging offers not only two-dimensional projections but also adds light array directions, thus supporting single-shot all-in-focus imaging. Its poor spatial resolution becomes an obstacle to high-quality all-in-focus imaging performance. Although various super-resolution (SR) methods have been designed and combined with multifocus image fusion (MFIF), high-quality multifocus fused SR images can be reconstructed for various applications, almost all of them deal with MFIF and SR separately. To our best knowledge, we first unify MFIF and SR problems as the multifocus image SR fusion (MFISRF) in the optical perspective and thus propose a dataset-free unsupervised framework named deep fusion prior (DFP) to address such MFISRF, particularly for plenoptic SR all-in-focus imaging. Both numerical and practical experiments have proved that our proposed DFP approaches or even outperforms those state-of-the-art MFIF and SR method combinations. Therefore, we believe DFP can be potentially used in various computational photography applications. The DFP codes are open source and available at http://github.com/GuYuanjie/DeepFusionPrior.

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Section: Dfp Applied For Plenoptic Super-resolution All-in-focus Imagingmentioning

confidence: 99%

“…is the captured plenoptic image, and Figs. 4(b)–4(e) are the reconstructed images focused at different planes via our previously proposed OpenRefocus 33 . Only parts of the image are in focus, as shown in the zoomed-in fields of interest in Figs.…”

Section: Dfp Applied For Plenoptic Super-resolution All-in-focus Imagingmentioning

confidence: 99%