@inproceedings{f8ad71beb6ad4b61b991b1b0df1cc752,
title = "CIDER: Corrected inverse-denoising filter for image restoration",
abstract = "In this paper we propose and develop a new algorithm, Corrected Inverse-Denoising filtER (CIDER) to restore blurred and noisy images. The approach is motivated by a recent algorithm ForWaRD, which uses a regularized inverse filter followed by a wavelet denoising scheme. In ForWaRD, the restored image obtained by the regularized inverse filter is a biased estimate of the original image. In CIDER, the correction term is added to this restored image such that the resulting one is an unbiased estimator. Similarly, the wavelet denoising scheme can be applied to suppress the residual noise. Experimental results show that the performance of CIDER is better than other existing methods in our comparison study.",
keywords = "Inverse filter, Regularization, Restoration, Wavelet denoising",
author = "Wen, {You Wei} and NG, {Kwok Po} and Ching, {Wai Ki}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2007 ; Conference date: 27-08-2007 Through 29-08-2007",
year = "2007",
doi = "10.1007/978-3-540-74198-5_9",
language = "English",
isbn = "9783540741954",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "112--126",
booktitle = "Energy Minimization Methods in Computer Vision and Pattern Recognition - 6th International Conference, EMMCVPR, 2007 Proceedings",
address = "Germany",
}