@inproceedings{095cde5ebc1b482cb23d0bbc127138b8,
title = "An effective aggregation function for image denoising based on low rank matrix completion",
abstract = "In this paper, an aggregation function is proposed to improve the performance of the conventional denoising method based on low rank matrix completion. Since this method determines the denoised value of each pixel by averaging the corresponding pixels in the denoised image patches, the performance can be improved by a reasonable aggregation function. The proposed aggregation function exploits the intensity similarity and geometry closeness of the denoised patches, to reduce the unwanted artifacts in the synthesized denoised image. Experimental results show that the proposed method achieves substantial PSNR improvement as compared with the conventional denoising algorithm.",
keywords = "Aggregation function, low rank matrix completion, patch-based image denoising",
author = "Dongni Zhang and Lee, {Sung Ho} and Hoon Kim and Han, {Jong Woo} and Ko, {Sung Jea}",
year = "2011",
doi = "10.1109/KAM.2011.65",
language = "English",
isbn = "9780769545479",
series = "Proceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011",
pages = "219--221",
booktitle = "Proceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011",
note = "2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011 ; Conference date: 08-10-2011 Through 09-10-2011",
}