Color single-pixel imaging based on multiple measurement vectors model

Ming Zhao; Chen Kang; Pin Tian; Wenhai Xu

doi:10.1117/1.OE.55.3.033103

11 March 2016 Color single-pixel imaging based on multiple measurement vectors model

Ming Zhao, Chen Kang, Pin Tian, Wenhai Xu

Author Affiliations +

Optical Engineering, Vol. 55, Issue 3, 033103 (March 2016). https://doi.org/10.1117/1.OE.55.3.033103

Abstract

Single-pixel imaging (SPI) represents a promising approach to multispectral imaging. We investigated the interband similarity of color images among red, green, and blue bands and found that it is highly possible for their wavelet coefficients to be at the same locations due to edges and transactions. Accordingly, we constructed a multiple measurement vectors model that includes a constraint under which the sparse coefficients of different bands have the same sparse structure, and then joint reconstruction is performed for all bands. We ran both simulated and actual experiments to validate the feasibility and effectiveness of the proposed method and found that compared with similar methods, it significantly improves the reconstruction quality of color SPI.

Citation Download Citation

Ming Zhao, Chen Kang, Pin Tian, and Wenhai Xu "Color single-pixel imaging based on multiple measurement vectors model," Optical Engineering 55(3), 033103 (11 March 2016). https://doi.org/10.1117/1.OE.55.3.033103

Published: 11 March 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available