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Istituto di Scienza e Tecnologie dell'Informazione     
Wang R., Li S., Kuruoglu E. E. A novel algorithm for image denoising based on unscented Kalman filtering. In: International Journal of Information and Communication Technology, vol. 5 (3-4) pp. 343 - 353. Special Issue on Intelligent Computing and Electronic Information Engineering. Xiaolong Li (ed.). INDERSCIENCE Publishers, 2013.
 
 
Abstract
(English)
This paper presents a noise removal algorithm based on unscented Kalman filtering in order to improve image quality. We first analysed the characteristics of the background noise, and then discussed the unscented Kalman filter (UKF). After that, one-dimensional unscented Kalman filtering, and two-dimensional non-symmetric half plane (NSHP) support image model based on two-dimensional unscented Kalman filtering are introduced. Experimental results show that as an adaptive method, the algorithm reduces the noise while retaining the image details, and two-dimensional NSHP model performs better than one-dimensional UKF algorithm. Therefore, UKF together with its two-dimensional NSHP implementation have efficacy for noise removal of images.
URL: http://www.inderscience.com/info/inarticle.php?artid=54944
DOI: 10.1504/IJICT.2013.054944
Subject Image denoising
Unscented Kalman filter
I.4.4 Restoration. Kalman filtering
68U10 Image processing
93E11 Filtering


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