- Research Article
- Published:
Removing Impulse Bursts from Images by Training-Based Filtering
EURASIP Journal on Advances in Signal Processing volume 2003, Article number: 472580 (2003)
Abstract
The characteristics of impulse bursts in remote sensing images are analyzed and a model for this noise is proposed. The model also takes into consideration other noise types, for example, the multiplicative noise present in radar images. As a case study, soft morphological filters utilizing a training-based optimization scheme are used for the noise removal. Different approaches for the training are discussed. It is shown that these techniques can provide an effective removal of impulse bursts. At the same time, other noise types in images, for example, the multiplicative noise, can be suppressed without compromising good edge and detail preservation. Numerical simulation results, as well as examples of real remote sensing images, are presented.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Koivisto, P., Astola, J., Lukin, V. et al. Removing Impulse Bursts from Images by Training-Based Filtering. EURASIP J. Adv. Signal Process. 2003, 472580 (2003). https://doi.org/10.1155/S1110865703211045
Received:
Revised:
Published:
DOI: https://doi.org/10.1155/S1110865703211045