bullet Sensors & Transducers Journal

    (ISSN 1726- 5479)


2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription 2013

Editorial Calendar 2013

Submit an Article

Editorial Board

Current Issue

S&T journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents


Best Articles 2011




Vol. 157, Issue 10, October 2013, pp. 229-233




Super-resolution Algorithm for Passive Millimeter Wave Imaging Based on Maximum Likelihood and Neighbor Wavelet Transform
Yiming Niu, Can Cui, Guo Yang, Wen Wu

Ministerial Key Laboratory of JGMT, Nanjing University of Science and Technology, Nanjing 210014, China
E-mail: nym1987@126.com


Received: 3 August 2013   /Accepted: 25 October 2013   /Published: 31 October 2013

Digital Sensors and Sensor Sysstems


Abstract: In passive millimeter wave imaging system, the problem of poor resolution of acquired image stems are mainly from system antenna size limitations. In order to improve the resolution of passive millimeter wave images, a super-resolution algorithm based on Maximum Likelihood estimation and neighbor wavelet transform are proposed in this paper. This algorithm first restores the spectrum in the pass-band and de-noises the image based on neighbor wavelet transform, then extrapolate the spectrum by using the non-linear projection operation Richardson-Lucy (RL) algorithm. Experimental results demonstrate the algorithm improve the convergent rate, enhance the resolution and reduces the ringing effects which are caused by regularizing the image restoration problem. Furthermore, the algorithm is easily implemented for passive millimeter wave imaging.


Keywords: Passive millimeter wave (PMMW) imaging, Radiometer, Super-resolution, Maximum likelihood.


Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format



Download <here> the Library Journal Recommendation Form






1999 - 2018 Copyright , International Frequency Sensor Association (IFSA). All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn