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Compressive imaging using approximate message passing and a Cauchy prior in the wavelet domain

Hill, Paul and Kim, Jong-Hoon and Basarab, Adrian and Kouamé, Denis and Bull, David and Achim, Alin Marian Compressive imaging using approximate message passing and a Cauchy prior in the wavelet domain. (2016) In: IEEE International Conference on Image Processing (ICIP 2016), 25 September 2016 - 28 September 2016 (Phoenix, Arizona, United States).

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Official URL: http://dx.doi.org/10.1109/ICIP.2016.7532812

Abstract

Approximate Message Passing (AMP) is an iterative reconstruction algorithm that performs signal denoising within a compressive sensing framework. We propose the use of heavy tailed distribution based image denoising, specifically using a Cauchy prior based Maximum A-Posteriori (MAP) estimate within a wavelet based AMP compressive sensing structure. The use of this MAP denoising algorithm provides extremely fast convergence for image based compressive sensing. The proposed method converges approximately twice as fast as the compared AMP methods whilst providing superior final MSE results over a range of measurement rates.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Electronic ISBN: 978-1-4673-9961-6 Electronic ISSN: 2381-8549 http://ieeexplore.ieee.org/document/7532812/
HAL Id:hal-01523670
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > University of Bristol (UNITED KINGDOM)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:25 Apr 2017 14:39

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