eprintid: 1477561
rev_number: 24
eprint_status: archive
userid: 608
dir: disk0/01/47/75/61
datestamp: 2017-05-25 14:50:26
lastmod: 2020-02-17 04:58:58
status_changed: 2017-05-25 14:50:26
type: proceedings_section
metadata_visibility: show
creators_name: Guo, C
creators_name: Nelson, JDB
title: Compressive imaging with complex wavelet transform and turbo AMP reconstruction
ispublished: pub
divisions: UCL
divisions: A01
divisions: B04
divisions: C06
keywords: Science & technology, technology, engineering, electrical & electronic, engineering, compressed sensing, dual-tree complex wavelet transform, hmt, turbo decoding, approximate message passing, model.
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: We extend the “turbo” belief propagation framework for compressive imaging to the dual-tree complex wavelet transform (DT-CWT) to exploit both sparsity and dependency across scales. Due to the near shift-invariance property and the improved angular resolution of DT-CWT, better reconstruction can be expected when incorporating with the compressed sensing (CS) algorithms. Two types priors to form the hidden
Markov tree structure for the DT-CWT coefficients are considered.
One models the real and imaginary components of
DT-CWT separately while the other assumes the shared hidden states between the two. Simulation with natural images confirm an improved performance when iterating between the CS reconstruction and the DT-CWT HMT.
date: 2015-09-04
publisher: IEEE
official_url: http://dx.doi.org/10.1109/EUSIPCO.2015.7362684
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1122359
doi: 10.1109/EUSIPCO.2015.7362684
isbn_13: 9780992862633
lyricists_name: Nelson, James Daniel Bryan
lyricists_id: JDBNE39
actors_name: Nelson, James Daniel Bryan
actors_id: JDBNE39
actors_role: owner
full_text_status: public
series: European Signal Processing Conference
publication: 2015 23RD EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
volume: 23
place_of_pub: Nice, France
pagerange: 1751-1755
pages: 5
event_title: 23rd European Signal Processing Conference (EUSIPCO)
event_location: Nice, FRANCE
event_dates: 31 August 2015 - 04 September 2015
institution: EUSIPCO
issn: 2076-1465
book_title: Proceedings of 2015 23rd European Signal Processing Conference (EUSIPCO)
editors_name: Dugelay, JL
editors_name: Slock, D
citation:        Guo, C;    Nelson, JDB;      (2015)    Compressive imaging with complex wavelet transform and turbo AMP reconstruction.                     In: Dugelay, JL and Slock, D, (eds.) Proceedings of 2015 23rd European Signal Processing Conference (EUSIPCO).  (pp. pp. 1751-1755).  IEEE: Nice, France.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1477561/1/eusipco2015_v3.pdf