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Sparseness and Compressed Sensing

An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios


The compressed sensing (CS) has been successfully applied to image compression in the past few years as most image signals are sparse in a certain domain. Several CS reconstruction models have been proposed and obtained superior performance. However, these methods suffer from blocking artifacts or ringing effects at low sampling ratios in most cases. To address this problem, we propose a deep convolutional Laplacian Pyramid Compressed Sensing Network (LapCSNet) for CS, which consists of a sampling sub-network and a reconstruction sub-network.

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Authors:
Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao
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13 April 2018 - 1:16am
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Compressed sensing, Convolutional neural network, CNN

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[1] Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao, "An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2600. Accessed: Jun. 22, 2018.
@article{2600-18,
url = {http://sigport.org/2600},
author = {Wenxue Cui; Heyao Xu; Xinwei Gao; Shengping Zhang; Feng Jiang; Debin Zhao },
publisher = {IEEE SigPort},
title = {An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios},
year = {2018} }
TY - EJOUR
T1 - An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios
AU - Wenxue Cui; Heyao Xu; Xinwei Gao; Shengping Zhang; Feng Jiang; Debin Zhao
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2600
ER -
Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao. (2018). An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios. IEEE SigPort. http://sigport.org/2600
Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao, 2018. An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios. Available at: http://sigport.org/2600.
Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao. (2018). "An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios." Web.
1. Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao. An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2600

SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION

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Submitted On:
7 March 2017 - 2:03am
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hung_slides.pdf

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[1] , "SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1680. Accessed: Jun. 22, 2018.
@article{1680-17,
url = {http://sigport.org/1680},
author = { },
publisher = {IEEE SigPort},
title = {SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION},
year = {2017} }
TY - EJOUR
T1 - SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1680
ER -
. (2017). SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION. IEEE SigPort. http://sigport.org/1680
, 2017. SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION. Available at: http://sigport.org/1680.
. (2017). "SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION." Web.
1. . SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1680

SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION

Paper Details

Authors:
Submitted On:
7 March 2017 - 2:03am
Short Link:
Type:
Event:
Paper Code:
Document Year:
Cite

Document Files

hung_slides.pdf

(163 downloads)

Keywords

Additional Categories

Subscribe

[1] , "SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1679. Accessed: Jun. 22, 2018.
@article{1679-17,
url = {http://sigport.org/1679},
author = { },
publisher = {IEEE SigPort},
title = {SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION},
year = {2017} }
TY - EJOUR
T1 - SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1679
ER -
. (2017). SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION. IEEE SigPort. http://sigport.org/1679
, 2017. SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION. Available at: http://sigport.org/1679.
. (2017). "SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION." Web.
1. . SMOOTHED OPTIMIZATION FOR SPARSE OFF-GRID DIRECTIONS-OF-ARRIVAL ESTIMATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1679