1 August 2002 Prediction-based image restoration using a multiple window configuration
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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.
© (2002) Society of Photo-Optical Instrumentation Engineers (SPIE)
Edward S. Hore, Edward S. Hore, Bin Qiu, Bin Qiu, Hong Ren Wu, Hong Ren Wu, } "Prediction-based image restoration using a multiple window configuration," Optical Engineering 41(8), (1 August 2002). https://doi.org/10.1117/1.1489427 . Submission:
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