We theoretically study the effects of motion blur on a captured light field and present a practical algorithm to deblur light fields of general scenes captured ...
As a solution we propose to use a light field camera. We demonstrate that a single light field image captured with a Lytro camera can be successfully deblurred.
We theoretically study the effects of motion blur on a captured light field and present a practical algorithm to deblur light fields of general scenes captured ...
We demonstrate that a single light field image cap- tured with a Lytro camera can be successfully deblurred. More specifically, we consider the case of space- ...
Here, we develop AutoDeconJ, a GPU-accelerated ImageJ plugin for 4.4× faster and more accurate deconvolution of LFM data.
This repository contains: Light_Field_Blind_Motion_Deblurring.ipynb Jupyter notebook with an implementation of our light field blind deblurring algorithm.
Missing: Deconvolution. | Show results with:Deconvolution.
We propose a joint method which simultaneously solves deblurring, depth estimation, and camera motion estimation problems from a single light field. • Unlike ...
We develop an analytical reconstruction method that involves reconstructing the plenoptic function from the 3D model derived from imaging formulas and their ...
May 10, 2024 · In this publication, we propose a new method for image reconstruction in light‐sheet microscopy based on multi‐view acquisitions.
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In this work we propose a combination of a neural network (SLNet) that recovers the sparse components of a light field image sequence and a neural network ( ...