Paper
6 July 1998 Wavelet domain model-based restoration
Viviana Sandor, Stephen K. Park
Author Affiliations +
Abstract
This paper describes a wavelet domain restoration algorithm, based on a so-called C/D/C system model that accounts for system blur at the image acquisition level, for the potentially important effects of aliasing, and for additive noise. Wavelet domain modeling discretizes the image acquisition kernel, and in this way the image restoration problem is formulated as a discrete least squares problem. The treatment of noise is related to the singular values of the image acquisition kernel. The performance of our wavelet domain restoration algorithm is assessed. We show that 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 that we control with the proper choice of an algorithm parameter. This paper extends work in wavelet domain C/D/C model-based restoration, and builds on research using the C/D/C model in digital image restoration.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Viviana Sandor and Stephen K. Park "Wavelet domain model-based restoration", Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); https://doi.org/10.1117/12.316397
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wavelets

Signal to noise ratio

Image acquisition

Image restoration

Model-based design

Digital imaging

Image filtering

RELATED CONTENT


Back to Top