Model-based restoration in the wavelet domain

Viviana Sandor; Stephen K. Park

doi:10.1117/12.292810

30 October 1997 Model-based restoration in the wavelet domain

Viviana Sandor, Stephen K. Park

Proceedings Volume 3169, Wavelet Applications in Signal and Image Processing V; (1997) https://doi.org/10.1117/12.292810
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

Citation Download Citation

Viviana Sandor and Stephen K. Park "Model-based restoration in the wavelet domain", Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); https://doi.org/10.1117/12.292810

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