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Journal Articles Signal Processing: Image Communication Year : 2022

Axial refocusing precision model with light fields


In light field imaging, axial refocusing precision corresponds to the minimum distance in the axial direction between two distinguishable refocusing planes. The refocusing precision can be essential for applications like light field microscopy. In this paper, we introduce a refocusing precision model based on a geometrical analysis of the flow of rays within the virtual camera. The model establishes the relationship between the feature separability of refocusing and different camera settings. As extending numerical aperture (NA) in classical imaging, the baseline extension of light field also gives more accurate refocusing results. To test the axial refocus precision, we conduct experiments with 1st generation Lytro camera as well as a Blender light field simulation. The results is basically consistent with our prediction. Then, we show that computationally extend-ing the light field baseline increases the axial refocusing precision on real plenoptic camera and light field microscopy datasets.
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Dates and versions

hal-03651953 , version 1 (26-04-2022)



Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang, Christine Guillemot. Axial refocusing precision model with light fields. Signal Processing: Image Communication, 2022, pp.1-11. ⟨10.1016/j.image.2022.116721⟩. ⟨hal-03651953⟩
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