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Proceedings Paper

Model-based restoration in the wavelet domain
Author(s): Viviana Sandor; Stephen K. Park
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Paper Abstract

In this paper we show that if wavelet domain processing is used with digital restoration, then pixel-scale features can be restored exactly in the absence of noise. In the presence of noise results are similar, except for some noise- amplification and ringing artifacts. Wavelet domain modeling eliminates the need to discretize the image acquisition kernel and helps formulate image restoration as a discrete least squares problem. The performance of this technique is analyzed by model-based simulation using a comprehensive model to account for system blur at the image formation level, for the potentially important effects of aliasing, and for additive noise.

Paper Details

Date Published: 30 October 1997
PDF: 10 pages
Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); doi: 10.1117/12.292810
Show Author Affiliations
Viviana Sandor, College of William and Mary (United States)
Stephen K. Park, College of William and Mary (United States)


Published in SPIE Proceedings Vol. 3169:
Wavelet Applications in Signal and Image Processing V
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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