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Abstract
In this paper we suggest how several competing image denoising algorithms, differing in design parameters, or even in design principles, can be combined together to yield a better and more reliable denoising algorithm. The proposed fusion mechanism allows one to combine practically all kinds of noise reduction tools. It also allows one to account for the distribution of measurement noise, and in particular - to cope with heavy-tailed disturbances, such as Laplacian noise, or light-tailed disturbances, such as uniform noise.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Praga, May 22-27, 2011 strony 933 - 936
- Language:
- English
- Publication year:
- 2011
- Bibliographic description:
- Niedźwiecki M., Gackowski S.: On cooperative image denoising// 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Praga, May 22-27, 2011/ ed. IEEE Czechy: , 2011, s.933-936
- Verified by:
- Gdańsk University of Technology
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