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Proceedings Paper

A novel blind image restoration algorithm of UWB system
Author(s): Weijiang Wang; Tingzhi Shen
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Paper Abstract

The key problem of ultra-wide band (UWB) imaging system is the low signal to noise ratio (SNR). A novel multichannel blind image restoration algorithm based on sub-space and constrained least square (CLS) is presented and applied into UWB system to deal with this issue. Based on the improved model of the UWB echo, the high resolution of UWB image can be equivalent to multi-channel blind image restoration. A new cost function is proposed by considering the concept of sub-space as the limitation of blur identification. And the proposed algorithm converts the image estimation to alternating-minimizing the cost functions. Experimental results prove that the proposed algorithm is effective at improving the resolution of UWB image even at low SNR.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952K (30 October 2009); doi: 10.1117/12.832145
Show Author Affiliations
Weijiang Wang, Beijing Institute of Technology (China)
Tingzhi Shen, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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