Please use this identifier to cite or link to this item:
Title: Image quality of compressive single-pixel imaging using different Hadamard orderings
Authors: Vaz, Pedro G. 
Amaral, Daniela 
Ferreira, L. F. Requicha 
Morgado, Miguel 
Cardoso, João 
Issue Date: 13-Apr-2020
Project: FCT - PTDC/EMD-TLM/30295/2017 
European Regional Development Fund; Competitiveness and Internationalization Operational Programme (PTCOMPETE 2020) 
Serial title, monograph or event: Optics Express
Volume: 28
Issue: 8
Abstract: Single-pixel imaging is an imaging technique that has recently attracted a lot of attention from several areas. This paper presents a study on the influence of the Hadamard basis ordering on the image reconstruction quality, using simulation and experimental methods. During this work, five different orderings, Natural, Walsh, Cake-cutting, High Frequency and Random orders, along with two different reconstruction algorithms, TVAL3 and NESTA, were tested. Also, three different noise levels and compression ratios from 0.1 to 1 were evaluated. A single-pixel camera was developed using a digital micromirror device for the experimental phase. For a compression ratio of 0.1, the Cake-cutting order achieved the best reconstruction quality, while the best contrast was achieved by Walsh order. For compression ratios of 0.5, the Walsh and Cake-cutting orders achieved similar results. Both Walsh and Cake-cutting orders reconstructed the images with good quality using compression ratios from 0.3. Finally, the TVAL3 algorithm showed better image reconstruction quality, in comparison with NESTA, when considering compression ratios from 0.1 to 0.5.
ISSN: 1094-4087
DOI: 10.1364/OE.387612
Rights: openAccess
Appears in Collections:LIBPhys - Artigos em Revistas Internacionais
I&D CIBIT - Artigos em Revistas Internacionais
FCTUC Física - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
oe-28-8-11666.pdf3.27 MBAdobe PDFView/Open
Show full item record


checked on Nov 17, 2022


checked on Nov 15, 2022

Page view(s)

checked on Dec 5, 2022


checked on Dec 5, 2022

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.