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Optical Engineering

Prediction-based image restoration using a multiple window configuration
Author(s): Edward S. Hore; Bin Qiu; Hong Ren Wu
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Paper Abstract

We present a prediction-based multiple-window approach to image restoration based on new hypotheses. The filter is an order statistics filter that incorporates the new hypotheses via the generation of a reference image to predict the original uncorrupted image. In addition, adaptive parameter selection based on the local signal content is employed, as well as off-line parameter optimization and training using a maximum-likelihood estimation algorithm. The experimental results are all carried out using 24-bit RGB images with each channel being processed individually. The new technique demonstrates a marked performance gain over existing state-of-the-art methods.

Paper Details

Date Published: 1 August 2002
PDF: 11 pages
Opt. Eng. 41(8) doi: 10.1117/1.1489427
Published in: Optical Engineering Volume 41, Issue 8
Show Author Affiliations
Edward S. Hore, Monash Univ. (Australia)
Bin Qiu, Monash Univ. (Australia)
Hong Ren Wu, Monash Univ. (Australia)


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