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Compressive Image Recovery using Recurrent Generative Model

Abstract: 

Reconstruction of signals from compressively sensed measurements is an ill-posed problem. In this paper, we leverage the recurrent generative model, RIDE, as an image prior for compressive image reconstruction. Recurrent networks can model long-range dependencies in images and hence are suitable to handle global multiplexing in reconstruction from compressive imaging. We perform MAP inference with RIDE using back-propagation to the inputs and projected gradient method. We propose an entropy thresholding based approach for preserving texture in images well. Our approach shows superior reconstructions compared to recent global reconstruction approaches like D-AMP and TVAL3 on both simulated and real data.

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Paper Details

Authors:
Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra
Submitted On:
26 September 2017 - 7:44am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Anil Kumar Vadathya
Paper Code:
WP.L2
Document Year:
2017
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icip17_final.pptx

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[1] Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra, "Compressive Image Recovery using Recurrent Generative Model", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2246. Accessed: Dec. 16, 2017.
@article{2246-17,
url = {http://sigport.org/2246},
author = {Akshat Dave; Anil Kumar Vadathya; Kaushik Mitra },
publisher = {IEEE SigPort},
title = {Compressive Image Recovery using Recurrent Generative Model},
year = {2017} }
TY - EJOUR
T1 - Compressive Image Recovery using Recurrent Generative Model
AU - Akshat Dave; Anil Kumar Vadathya; Kaushik Mitra
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2246
ER -
Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra. (2017). Compressive Image Recovery using Recurrent Generative Model. IEEE SigPort. http://sigport.org/2246
Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra, 2017. Compressive Image Recovery using Recurrent Generative Model. Available at: http://sigport.org/2246.
Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra. (2017). "Compressive Image Recovery using Recurrent Generative Model." Web.
1. Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra. Compressive Image Recovery using Recurrent Generative Model [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2246