Iterative image subset scanning for image reconstruction from sensor signals

Image reconstruction techniques from signals received by sensors find application in several fields, including radio interferometry for astronomical investigations and magnetic resonance imaging for medical applications. This paper presents a novel method for image reconstruction based on the iterative scanning of a region of interest. A modified approximate message passing (AMP) algorithm is adopted to extract relevant image information with low computational complexity from signals received by sensors. The method is illustrated by simulations, with reference to the LOFAR radio interferometer, and compared in the case of radio astronomy with the CLEAN algorithm.


Presented at:
Signal Processing and Information Technology (ISSPIT), 2015 IEEE International Symposium on, Abu Dhabi, United Arab Emirates, 7-10 Dec. 2015
Year:
2015
ISBN:
978-1-5090-0481-2
Keywords:
Note:
Fulltext available upon request
Laboratories:




 Record created 2017-10-16, last modified 2018-09-13


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