Parameter Tuning of Bilateral Filter Based on Hellinger Distance
-
- Hashii Hayato
- Yamaguchi University
-
- Tanaka Go
- Yamaguchi University
-
- Suetake Noriaki
- Yamaguchi University
-
- Uchino Eiji
- Yamaguchi University Fuzzy Logic Systems Institute
Bibliographic Information
- Other Title
-
- Hellinger距離に基づいたバイラテラルフィルタのパラメータ調整
Description
The bilateral filter is an edge-preserving smoothing filter to reduce the superimposed noise on a signal. The tuning of smoothing parameters in the bilateral filter using an input signal is needed to produce a good reconstructed one. The difference between the input and reconstructed signals is regarded as a noise component. If the similarity between the estimated noise distribution and the assumed noise distribution model is high, it will be expected that a good reconstructed signal is given. In the proposed method, the similarity is calculated using the Hellinger distance and the smoothing parameters in the bilateral filter are tuned based on it.
Journal
-
- Proceedings of the Fuzzy System Symposium
-
Proceedings of the Fuzzy System Symposium 26 (0), 216-216, 2010
Japan Society for Fuzzy Theory and Intelligent Informatics
- Tweet
Details 詳細情報について
-
- CRID
- 1390282680648742656
-
- NII Article ID
- 130005035467
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed