| Item type |
紀要論文 / Departmental Bulletin Paper(1) |
| 公開日 |
2021-05-11 |
| タイトル |
|
|
タイトル |
ガウス分布の加法性に基づいたガウス雑音の標準偏差の推定法 |
|
言語 |
ja |
| タイトル |
|
|
タイトル |
An Estimate the Standard Deviation of Gaussian Noise Based on the Additiveness of Gaussian Distribution |
|
言語 |
en |
| 言語 |
|
|
言語 |
jpn |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Gaussian Noise |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Standard Deviation |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Estimate |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Gaussian Distribution |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
departmental bulletin paper |
| ID登録 |
|
|
ID登録 |
10.34411/00032028 |
|
ID登録タイプ |
JaLC |
| 著者 |
鈴木, 貴士
長沼, 一輝
辻, 裕之
木村, 誠聡
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
As a method of estimating Gaussian noise superimposed on the image, there is an estimation method based on MAD. The method based on MAD has good estimation accuracy for images with many flat area. However, the estimation accuracy is not good for images with many edges and detail signals. We proposed the method to extend the method based on MAD to correct the Gaussian noise estimate according to the type of image. As a result, it was possible to improve the estimation accuracy even in an image including many edges and detail signals. However, improvement in estimation accuracy is effective only when the Gaussian noise is large, and a very effective result cannot be obtained when the Gaussian noise is small. In this paper, we propose the method for improving estimation accuracy for images with small Gaussian noise and many edges and detail signals. In the proposed method, an estimation method that focuses on the additiveness of the Gaussian distribution is applied only to images that contain many edges and detail signals. The proposed method improved the noise estimation accuracy by about 27% compared to the conventional method. |
|
言語 |
en |
| 書誌情報 |
神奈川工科大学研究報告.B,理工学編
巻 44,
p. 37-42,
発行日 2020-03-01
|
| 出版者 |
|
|
出版者 |
神奈川工科大学 |
| ISSN |
|
|
収録物識別子タイプ |
PISSN |
|
収録物識別子 |
21882878 |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA12669200 |
| フォーマット |
|
|
内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
kkb-044-006.pdf (2.4 MB)
