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Proceedings Paper

Multiresolution wavelet techniques for noisy inverse-sensing problems
Author(s): Harold H. Szu; Sheng Zhong; Lei Xu; Qing-Yun Shi; Min-Teh Cheng; Ke Chen; Huisheng Chi; Che Li
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Paper Abstract

One of the generic image/signal processing problems is how to restore accurately the first order point singularity feature having the discontinuity of the first derivative that is furthermore masked with nosy clutter environment. This is known as the class of ill-condition inverse problem in a real world environment. Specifically, given the noisy sensor data, how to reconstruct the unknown singularity as the feature of the unknown source/object. We consider the rooftop singularity for the noisy sensor inverse problem, and demonstrate that the multiresolution paradigm-wavelet transform is useful to restore the source/object singularity.

Paper Details

Date Published: 6 April 1995
PDF: 9 pages
Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205375
Show Author Affiliations
Harold H. Szu, Peking Univ. (China)
Sheng Zhong, Peking Univ. (China)
Lei Xu, Peking Univ. (China)
Qing-Yun Shi, Peking Univ. (China)
Min-Teh Cheng, Peking Univ. (China)
Ke Chen, Peking Univ. (China)
Huisheng Chi, Peking Univ. (China)
Che Li, Peking Univ. (China)


Published in SPIE Proceedings Vol. 2491:
Wavelet Applications II
Harold H. Szu, Editor(s)

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