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Motion Deblurring for Plenoptic Images
[article]
2016
arXiv
pre-print
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We address for the first time the issue of motion blur in light field images captured from plenoptic cameras. ...
We propose a solution to the estimation of a sharp high resolution scene radiance given a blurry light field image, when the motion blur point spread function is unknown, i.e., the so-called blind deconvolution ...
Motion Deblurring for Plenoptic Images Paramanand Chandramouli, Paolo Favaro and Daniele Perrone Abstract-We address for the first time the issue of motion blur in light field images captured from plenoptic ...
arXiv:1408.3686v2
fatcat:lm5hjn4eeza6tbn2psy4iorfby
Reflection Separation and Deblurring of Plenoptic Images
[article]
2017
arXiv
pre-print
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In this paper, we address the problem of reflection removal and deblurring from a single image captured by a plenoptic camera. ...
The proposed framework also recovers the sharp scene texture with different motion blurs applied to each layer. We demonstrate our method on challenging real and synthetic images. ...
Motion Deblurring Recovering the sharp image and motion blur kernel from a given blurry image has been widely studied in the literature [31, 32] . ...
arXiv:1708.06779v1
fatcat:rtpgo33fsbecxg6zx56yuoeoqi
Computational Plenoptic Imaging
[article]
2011
Eurographics State of the Art Reports
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The plenoptic function is a ray-based model for light that includes the color spectrum as well as spatial, temporal, and directional variation. ...
Although digital light sensors have greatly evolved in the last years, one fundamental limitation remains: all standard CCD and CMOS sensors integrate over the dimensions of the plenoptic function as they ...
Motion Deblurring Motion deblurring has been an active area of research over the last few decades. ...
doi:10.2312/eg2011/stars/025-048
fatcat:573egkiky5da3ozhozfpmrm254
Computational Plenoptic Imaging
2011
Computer graphics forum (Print)
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The plenoptic function is a ray-based model for light that includes the colour spectrum as well as spatial, temporal and directional variation. ...
Although digital light sensors have greatly evolved in the last years, one fundamental limitation remains: all standard CCD and CMOS sensors integrate over the dimensions of the plenoptic function as they ...
Motion deblurring Motion deblurring has been an active area of research over the last few decades. ...
doi:10.1111/j.1467-8659.2011.02073.x
fatcat:algvg77lkjevlov7stqcf7eh2q
An Object-Based Approach to Image/Video-Based Synthesis and Processing for 3-D and Multiview Televisions
2009
IEEE transactions on circuits and systems for video technology (Print)
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This shows the flexibility of the object-based approach. 2) Object Deblurring: Deblurring [21] can effectively improve the quality of image. ...
To this ends, we employ model-based motion estimation [37] to estimate the motion vectors of each pixel from the object in camera one to that in camera two. ...
doi:10.1109/tcsvt.2009.2017302
fatcat:iytoxsszrfdo5avjlabzssccpa
Review of light field technologies
2021
Visual Computing for Industry, Biomedicine, and Art
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AbstractLight fields are vector functions that map the geometry of light rays to the corresponding plenoptic attributes. ...
In this article, light field imaging is reviewed from the following aspects with an emphasis on the achievements of the past five years: (1) depth estimation, (2) content editing, (3) image quality, (4 ...
Motion deblurring has two approaches: blind motion deblurring and nonblind deblurring. Blind motion deblurring has been extensively studied using 2D images. In 2014, Chandramouli et al. ...
doi:10.1186/s42492-021-00096-8
pmid:34862574
pmcid:PMC8642475
fatcat:6rq5rx5svrcerdr7rciaijy3k4
Bilayer Blind Deconvolution with the Light Field Camera
2015
2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
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We demonstrate that a single light field image captured with a Lytro camera can be successfully deblurred. ...
Our method employs a layered model that handles occlusions and partial transparencies due to both motion blur and out of focus blur of the plenoptic camera. ...
Conventional motion deblurring Motion deblurring, the problem of jointly estimating a motion blur kernel and a sharp image is an ill-posed problem [38] . ...
doi:10.1109/iccvw.2015.36
dblp:conf/iccvw/JinCF15
fatcat:7toss4jt7zhjbd6scqyuwkh43i
Computational plenoptic imaging
2012
ACM SIGGRAPH 2012 Posters on - SIGGRAPH '12
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The plenoptic function is a ray-based model for light that includes the color spectrum as well as spatial, temporal, and directional variation. ...
Although digital light sensors have greatly evolved in the last years, one fundamental limitation remains: all standard CCD and CMOS sensors integrate over the dimensions of the plenoptic function as they ...
Motion Deblurring Motion deblurring has been an active area of research over the last few decades. ...
doi:10.1145/2343483.2343494
fatcat:uqvwuaaeznej3oiq7gfxtbj3pu
An overview of computational photography
2012
Science China Information Sciences
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Researchers are exploring new ways to break through the limitations of traditional digital imaging for the benefit of photographers, vision and graphics researchers, and image processing programmers. ...
The difference is that computational photography aims to acquire much richer visual information, to generate images with compelling visual results or assist with specific tasks, e.g. computer vision or ...
Temporal resolution Cameras shake or object motion during the exposure time leads to objectionable image blurring, and to capture the deblurred images or videos via a commercially available camera is a ...
doi:10.1007/s11432-012-4587-6
fatcat:pfndsz4n6bgbbotzx5m2sq4hvm
Special Section Guest Editorial: Mobile Computational Photography
2013
Journal of Electronic Imaging (JEI)
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One such application is presented by Šindelář and Šroubek. 3 Their paper "Image deblurring in smartphone devices using built-in inertial measurement sensors" uses the accelerometers and gyroscopes in ...
a smartphone to determine the motion trajectory while a photo is taken, allowing the blur caused by that motion to be removed from the picture. ...
doi:10.1117/1.jei.22.1.010901
fatcat:vaaj5rbjtjfpzofd6aaqxj5xae
Capturing the plenoptic function in a swipe
2016
Applications of Digital Image Processing XXXIX
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Blur in images, caused by camera motion, is typically thought of as a problem. ...
In this paper, we focus on a specific case in which the blurred image of a scene, containing a flat plane with a texture signal that is a sum of sine waves, is analysed to recreate the plenoptic function ...
A blurred image of a scene. The motion blur is due to the camera moving in a straight line with the shutter open. ...
doi:10.1117/12.2236981
fatcat:vr6oe4wmqjeadnog5xlmlbppie
Non-Parametric Blur Map Regression for Depth of Field Extension
2016
IEEE Transactions on Image Processing
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A non-blind spatiallyvarying deblurring algorithm is then used to properly extend the DOF of the image. ...
The good performance of our algorithm is assessed both quantitatively, using realistic ground truth data obtained with a novel approach based on a plenoptic camera, and qualitatively with real images. ...
ACKNOWLEDGMENT We would like to thank the authors of [3] for kindly sharing their dataset of images to us, and, therefore, making a direct comparison to their approach possible. ...
doi:10.1109/tip.2016.2526907
pmid:26886992
fatcat:fw3ukdduqbg5xkvtwexcuonxt4
Real-Time Scene Text Detection Using Deblurring Technique
2020
International Journal of Engineering Technology and Management Sciences
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After that, we propose defocus and motion deblurring methods with modified camera optics. Image deblurring can be formulated as the process of inverting image blurring.
IV. ...
By losing motion-invariance, we inevitably reintroduce two issues inherent to the classical motion deblurring problem, which resolved for 1D motion. ...
doi:10.46647/ijetms.2020.v04i05.004
fatcat:24b7el5mqjf2pn7xqf56ctjkcu
Front Matter: Volume 9404
2015
Digital Photography XI
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estimation with heavy-tailed priors (Best Student Paper Award) [9404-10]
9404 0C
Motion deblurring with graph Laplacian regularization [9404-11]
9404 0D
A system for estimating optics blur PSFs ...
PROCESSING I
9404 02
Multimode plenoptic imaging [9404-1]
9404 03
Automatically designing an image processing pipeline for a five-band camera prototype
using the local, linear, learned (L 3 ) method ...
doi:10.1117/12.2190584
dblp:conf/dphoto/X15
fatcat:omamqbvc35b5ho76yjdgpweuvm
Richardson-Lucy Deblurring for Moving Light Field Cameras
[article]
2017
arXiv
pre-print
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We generalize Richardson-Lucy (RL) deblurring to 4-D light fields by replacing the convolution steps with light field rendering of motion blur. ...
The method deals correctly with blur caused by 6-degree-of-freedom camera motion in complex 3-D scenes, without performing depth estimation. ...
Blind deblurring, in which the motion of the camera and the deblurred image are jointly estimated, is left as future work. ...
arXiv:1606.04308v2
fatcat:ttr5vtb2lnbebnbp2y5d4q36qy
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