NDLI: Iterative inversion of the Radon transform using image-adaptive wavelet constraints

Content Provider	IEEE Xplore Digital Library
Author	Sahiner, B. Yagle, A.E.
Copyright Year	1998
Description	Author affiliation: EECS Dept., Michigan Univ., Ann Arbor, MI, USA (Sahiner, B.)
Abstract	Sahiner and Yagle (1992, 1993, 1995) developed a procedure for image reconstruction from projections under wavelet-domain image constraints (WC). We constrain the wavelet transform (WT) of the noisy image to zero in WT regions determined by thresholding the WT of the noisy image. The least-squares image satisfying these constraints shows improved reconstruction not just in the constrained region, but over the entire image. This amounts to image-constrained localized low pass filtering. We now present new results on iterative implementation of this technique. At each iteration we use the image from the previous iteration as the source of WC for the next iteration. This can be viewed as iterative spatially-varying image-constrained Wiener filtering. At the third iteration the RMS error is reduced by more than twice as much as in our previous results, while preserving high-resolution image features.
Starting Page	709
Ending Page	713
File Size	512052
Page Count	5
File Format	PDF
ISBN	0818688211
DOI	10.1109/ICIP.1998.723626
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-10-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Image reconstruction Low pass filters Wiener filter Filtering Magnetic separation Signal to noise ratio Wavelet domain Optical wavelength conversion Image resolution
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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