Imperial College London
Portrait Picture

ProfessorPier LuigiDragotti

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Signal Processing
 
 
 
//

Contact

 

+44 (0)20 7594 6192p.dragotti

 
 
//

Location

 

814Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Lawson:2019:10.1109/tci.2019.2913105,
author = {Lawson, M and Brookes, M and Dragotti, PL},
doi = {10.1109/tci.2019.2913105},
journal = {IEEE Transactions on Computational Imaging},
pages = {540--555},
title = {Scene estimation from a swiped image},
url = {http://dx.doi.org/10.1109/tci.2019.2913105},
volume = {5},
year = {2019}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The image blurring that results from moving a camera with the shutter open is normally regarded as undesirable. However, the blurring of the images encapsulates information which can be extracted to recover the light rays present within the scene. Given the correct recovery of the light rays that resulted in a blurred image, it is possible to reconstruct images of the scene from different camera locations. Therefore, rather than resharpening an image with motion blur, the goal of this paper is to recover the information needed to resynthesise images of the scene from different viewpoints. Estimation of the light rays within a scene is achieved by using a layer-based model to represent objects in the scene as layers, and by using an extended level set method to segment the blurred image into planes at different depths. The algorithm described in this paper has been evaluated on real and synthetic images to produce an estimate of the underlying Epipolar Plane Image.
AU  - Lawson,M
AU  - Brookes,M
AU  - Dragotti,PL
DO  - 10.1109/tci.2019.2913105
EP  - 555
PY  - 2019///
SN  - 2333-9403
SP  - 540
TI  - Scene estimation from a swiped image
T2  - IEEE Transactions on Computational Imaging
UR  - http://dx.doi.org/10.1109/tci.2019.2913105
UR  - http://hdl.handle.net/10044/1/70004
VL  - 5
ER  -
Download