Improvement of image quality in MR image using adaptive K-nearest neighbor averaging filter

Atsushi Teramoto, Isao Horiba, Noboru Sugie

研究成果: 会議への寄与タイプ論文査読

4 被引用数 (Scopus)

抄録

In this paper, a new filter for the purpose of restoring MR image from noise-contaminated ones is proposed. The filter is an extension of non-linear filter, known as K-nearest neighbor averaging Filter (KF). In the KF, filter parameter k is constant over the whole image. In the proposed method, the filter parameter k is changed on the basis of some characteristic values in the local region. As characteristic values, pixel value and gradient of pixel value are employed. Furthermore, characteristic value which detects the salt-and-pepper noise in MR is also employed. In the experiments, the proposed method as well as the conventional one is applied to MR images. As a result, noise smoothing avoiding degradation of edge has been carried out. Furthermore, we evaluate the frequency response using modulation transfer function. Its results have indicated the mechanism of noise reduction in AKF.

本文言語英語
ページ190-194
ページ数5
出版ステータス出版済み - 1997
外部発表はい
イベントProceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3) - Singapore, Singapore
継続期間: 09-09-199712-09-1997

会議

会議Proceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3)
CitySingapore, Singapore
Period09-09-9712-09-97

All Science Journal Classification (ASJC) codes

  • 信号処理

フィンガープリント

「Improvement of image quality in MR image using adaptive K-nearest neighbor averaging filter」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル