On cooperative image denoising

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.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Maciej Niedzwiecki, Szymon Gackowski
• Keywords: ICASSP 2011, Image Denoising Algorithms, Noise Reduction Tools, Reliable Denoising Algorithm, Signal Processing