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Non-Convex Sparse Optimization for Photon-Limited Imaging

Abstract: 

While convex optimization for low-light imaging has received some attention by the imaging community, non-convex optimization techniques for photon-limited imaging are still in their nascent stages. In this thesis, we developed a stage-based non-convex approach to recover high-resolution sparse signals from low-dimensional measurements corrupted by Poisson noise. We incorporate gradient-based information to construct a sequence of quadratic subproblems with an $\ell_p$-norm ($0 \leq p < 1$) penalty term to promote sparsity. The proposed methods lead to more accurate and high strength reconstructions in medical imaging applications such as bioluminescence tomography and fluorescence lifetime imaging.

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Paper Details

Authors:
Lasith Adhikari, Roummel Marcia
Submitted On:
6 March 2017 - 10:40am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Lasith Adhikari
Paper Code:
4251
Document Year:
2017
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PhDForum.pdf

(71 downloads)

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[1] Lasith Adhikari, Roummel Marcia, "Non-Convex Sparse Optimization for Photon-Limited Imaging", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1650. Accessed: Aug. 24, 2017.
@article{1650-17,
url = {http://sigport.org/1650},
author = {Lasith Adhikari; Roummel Marcia },
publisher = {IEEE SigPort},
title = {Non-Convex Sparse Optimization for Photon-Limited Imaging},
year = {2017} }
TY - EJOUR
T1 - Non-Convex Sparse Optimization for Photon-Limited Imaging
AU - Lasith Adhikari; Roummel Marcia
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1650
ER -
Lasith Adhikari, Roummel Marcia. (2017). Non-Convex Sparse Optimization for Photon-Limited Imaging. IEEE SigPort. http://sigport.org/1650
Lasith Adhikari, Roummel Marcia, 2017. Non-Convex Sparse Optimization for Photon-Limited Imaging. Available at: http://sigport.org/1650.
Lasith Adhikari, Roummel Marcia. (2017). "Non-Convex Sparse Optimization for Photon-Limited Imaging." Web.
1. Lasith Adhikari, Roummel Marcia. Non-Convex Sparse Optimization for Photon-Limited Imaging [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1650