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Proceedings Paper

Restoring chopped and nodded images by tight frames
Author(s): Raymond Hon-fu Chan; Lixin Shen; Zuowei Shen
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Paper Abstract

In infrared astronomy, the observed chopped and nodded image g can be viewed as the image obtained by passing the true image f through a highpass filter. Here we propose an iterative restoration algorithm by building up a tight frame wavelet system from a multiresolution analysis that has the highpass filter as one of the wavelet filters. To recover f, the low frequency information of f hidden in g is unfolded by a wavelet decomposition and reconstruction algorithm and combined with the given high frequency information in g. The main advantage of using our method to restore chopped and nodded images is that there are fewer artifacts as compared to the well-known projected Landweber method. Also the noise in the restored image is significantly reduced. Simulated and real images are tested to illustrate the efficiency of our method. Here, we briefly describe the main ideas of our recent paper and the details can be found there.

Paper Details

Date Published: 24 December 2003
PDF: 10 pages
Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); doi: 10.1117/12.512081
Show Author Affiliations
Raymond Hon-fu Chan, Chinese Univ. of Hong Kong (China)
Lixin Shen, West Virginia Univ. (United States)
Zuowei Shen, National Univ. of Singapore (Singapore)


Published in SPIE Proceedings Vol. 5205:
Advanced Signal Processing Algorithms, Architectures, and Implementations XIII
Franklin T. Luk, Editor(s)

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