@inproceedings{bec74afc669a4fd99e17815268f1ea53,
title = "A patch-based non-local means method for image denoising",
abstract = "In this paper, a revised version of non-local means denoising method is proposed. Different from the original non-local means method in which the algorithm is processed on a pixel-wise basis, the proposed method using image patches to implement non-local means denoising. Given that some details, texture and structure information will be smoothed out when performing weighted averaging, we carry out a pre-processing procedure to classify the image patches into several clusters according to their feature similarities. Later, the weights needed in non-local means algorithm is calculated between image patches in the same cluster. By this means, the above mentioned detail, texture and structure can be preserved due to the redundancy in similar image patches. We illustrate the overall algorithm's performance via several experiments. The results indicate the effectiveness of the proposed method.",
keywords = "Image denoising, K-means clustering, Non-local means, Patch-based",
author = "Shaobo Dang and Yanning Zhang and Dong Gong",
year = "2013",
doi = "10.1007/978-3-642-36669-7\_71",
language = "英语",
isbn = "9783642366680",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "582--589",
booktitle = "Intelligent Science and Intelligent Data Engineering - Third Sino-Foreign-Interchange Workshop, IScIDE 2012, Revised Selected Papers",
note = "3rd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2012 ; Conference date: 15-10-2012 Through 17-10-2012",
}