Advanced light-field refocusing through tomographic modeling of the photographed scene

Viganò, Nicola; Gil, Pablo Martínez; Herzog, Charlotte; Rochefoucauld, Ombeline de La; Liere, Robert van; Batenburg, Kees Joost

doi:10.1364/oe.27.007834

Cited by 10 publications

(8 citation statements)

References 34 publications

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“…This effectively allows for fast depth-resolved 3D imaging that is only limited by the flux of the X-ray source and framerate of the detector. The equivalence between the plenoptic acquisition and limited-angle CBCT [3] allows us to use iterative CT algorithms for the image reconstruction [4]. Furthermore, it shows that X-ray light-field images offer a bi-dimensional out-of-plane acquisition (Figure 1c): the sample projections are not acquired along a linear trajectory, as in tomosynthesis (Figure 1a), which only allows for detecting features that are oriented parallel to the detector or in the transverse direction with respect to the acquisition trajectory.…”

Section: Introductionmentioning

confidence: 99%

Emulation of X-ray Light-Field Cameras

et al. 2020

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X-ray plenoptic cameras acquire multi-view X-ray transmission images in a single exposure (light-field). Their development is challenging: designs have appeared only recently, and they are still affected by important limitations. Concurrently, the lack of available real X-ray light-field data hinders dedicated algorithmic development. Here, we present a physical emulation setup for rapidly exploring the parameter space of both existing and conceptual camera designs. This will assist and accelerate the design of X-ray plenoptic imaging solutions, and provide a tool for generating unlimited real X-ray plenoptic data. We also demonstrate that X-ray light-fields allow for reconstructing sharp spatial structures in three-dimensions (3D) from single-shot data.

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Section: Introductionmentioning

confidence: 99%

Emulation of X-ray Light-Field Cameras

et al. 2020

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“…One of the most promising techniques is light field photography, which uses a plenoptic camera to capture both the directions and radiance of the incident light rays [4]. The additional directional information allows a wider range of vision applications, such as depth estimation [5], [6], rendering [7], [8], refocusing [9], super-resolution [10], [11] etc. However, there is a limit to the density of the pixels that one can capture, necessitating a trade-off between spatial and angular resolution [12].…”

Section: Introductionmentioning

confidence: 99%

Light Field View Synthesis via Aperture Disparity and Warping Confidence Map

Meng,

Li,

Liu

et al. 2020

Preprint

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This paper presents a learning-based approach to synthesize the view from an arbitrary camera position given a sparse set of images. A key challenge for this novel view synthesis arises from the reconstruction process, when the views from different input images may not be consistent due to obstruction in the light path. We overcome this by jointly modeling the epipolar property and occlusion in designing a convolutional neural network. We start by defining and computing an aperture flow map, which approximates the parallax and measures the pixel-wise shift between two views. While this relates to freespace rendering and can fail near the object boundaries, we further develop a propagation confidence map to address pixel occlusion in these challenging regions. The proposed method is evaluated on diverse real-world and synthetic light field scenes, and it shows outstanding performance over several state-of-theart techniques.

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“…In recent works, a close relation between limited-angle cone-beam tomography and the so-called plenoptic or lightfield camera has been identified 8,9 . A plenoptic camera captures both the intensity and direction of light-rays and uses arrays of micro-lenses to collect multiple views of the same scene in a single image [10][11][12][13][14] .…”

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confidence: 98%

Plenoptic x-ray microscopy

Sowa

Kujda

Korecki

2020

Applied Physics Letters

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Plenoptic cameras use arrays of micro-lenses to capture multiple views of the same scene in a single compound image. They enable refocusing on different planes and depth estimation. However, until now, all types of plenoptic computational imaging have been limited to visible light. We demonstrate an x-ray plenoptic microscope that uses a concentrating micro-capillary array instead of a micro-lens array and can simultaneously acquire from one hundred to one thousand x-ray projections of imaged volumes that are located in the focal spot region of the micro-capillary array. Hence, tomographic slices at various depths near the focal plane can be reconstructed in a way similar to tomosynthesis, but from a single x-ray exposure. The microscope enables depth-resolved imaging of small subvolumes in large samples and can be used for imaging of weakly absorbing artificial and biological objects by means of propagation phase-contrast.

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Advanced light-field refocusing through tomographic modeling of the photographed scene

Cited by 10 publications

References 34 publications

Emulation of X-ray Light-Field Cameras

Emulation of X-ray Light-Field Cameras

Light Field View Synthesis via Aperture Disparity and Warping Confidence Map

Plenoptic x-ray microscopy

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