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A Vignetting Model for Light Field Cameras With an Application to Light Field Microscopy | IEEE Journals & Magazine | IEEE Xplore

A Vignetting Model for Light Field Cameras With an Application to Light Field Microscopy


Abstract:

In standard photography, vignetting is considered mainly as a radiometric effect because it results in a darkening of the edges of the captured image. In this paper, we d...Show More

Abstract:

In standard photography, vignetting is considered mainly as a radiometric effect because it results in a darkening of the edges of the captured image. In this paper, we demonstrate that for light held cameras, vignetting is more than just a radiometric effect. It modihes the properties of the acquired light held and renders most of the calibration procedures from the literature inadequate. We address the problem by describing a model and camera-agnostic method to evaluate vignetting in phase space. This enables the synthesis of vignetted pixel values, which applied to a range of pixels yield images corresponding to the white images that are customarily recorded for calibrating light held cameras. We show that the commonly assumed reference points for microlens-based systems are incorrect approximations to the true optical reference, i.e., the image of the center of the exit pupil. We introduce a novel calibration procedure to determine this optically correct reference point from experimental white images. We describe the changes vignetting imposes on the light held sampling patterns and, therefore, the optical properties of the corresponding virtual cameras using the equivalent camera array model [L. Mignard-Debise, J. Restrepo, and I. Ihrke, “A unifying first-order model for light-field cameras: The equivalent camera array,” IEEE Trans. Comput. Imag., vol. 3, no. 4, pp. 798-810, Dec. 2017] and apply these insights to a custom-built light held microscope.
Published in: IEEE Transactions on Computational Imaging ( Volume: 5, Issue: 4, December 2019)
Page(s): 585 - 595
Date of Publication: 17 April 2019

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Citations are not available for this document.

I. Introduction & Related Works

The field of light field imaging has seen the emergence of many different types of cameras to measure the light field of a scene. The model behind their design is most of the time a first-order optical model, employing a single ray per pixel and ignoring the finite extent of the optical components that constitute the optical system. These models therefore omit vignetting effects that occur when finite ray bundles are partially or fully blocked by the various mounts and the finite extent of the lenses during their propagation into the camera.

Cites in Papers - |

Cites in Papers - IEEE (9)

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1.
Hao Sheng, Sizhe Wang, Da Yang, Ruixuan Cong, Zhenglong Cui, Rongshan Chen, "Cross-View Recurrence-Based Self-Supervised Super-Resolution of Light Field", IEEE Transactions on Circuits and Systems for Video Technology, vol.33, no.12, pp.7252-7266, 2023.
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Cites in Papers - Other Publishers (8)

1.
Ashly Jose, Pang Ying Cheung, Zahra Laouby, Frédérique Vanholsbeeck, Juliette E. Cheyne, "Low-cost reversible tandem lens mesoscope for brain imaging in rodents", Neurophotonics, vol.11, no.01, 2024.
2.
Sizhe Wang, Hao Sheng, Da Yang, Zhenglong Cui, Ruixuan Cong, Wei Ke, "MFSRNet: spatial-angular correlation retaining for light field super-resolution", Applied Intelligence, 2023.
3.
Artur Bal, Henryk Palus, "Image Vignetting Correction Using a Deformable Radial Polynomial Model", Sensors, vol.23, no.3, pp.1157, 2023.
4.
Chen Jia, Yao Zhang, Fan Shi, Meng Zhao, "Light field imaging based on a parallel SVM method for recognizing 2D fake pedestrians", Optoelectronics Letters, vol.18, no.1, pp.48, 2022.
5.
Ivo Ihrke, "F-number and focal length of light field systems: a comparative study of field of view, light efficiency, signal to noise ratio, and depth of field", Optics Continuum, vol.1, no.4, pp.919, 2022.
6.
Elliott Kwan, Hong Hua, "Calibration of transverse ray and pupil aberrations for light field\t\t\t\tcameras", Applied Optics, vol.61, no.24, pp.6974, 2022.
7.
Artur Bal, Henryk Palus, "A Smooth Non-Iterative Local Polynomial (SNILP) Model of Image Vignetting", Sensors, vol.21, no.21, pp.7086, 2021.
8.
Ganna Platonova, Dalibor Štys, Pavel Souček, Kirill Lonhus, Jan Valenta, Renata Rychtáriková, "Spectroscopic Approach to Correction and Visualisation of Bright-Field Light Transmission Microscopy Biological Data", Photonics, vol.8, no.8, pp.333, 2021.
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