Removing impulse bursts from images by training-based filtering


Näytä suppeat kuvailutiedot Koivisto, Pertti - Astola, Jaakko - Lukin, Valdimir - Melnik, Vladimir - Tsymbal, Oleg - 2012-06-17T20:16:39Z 2012-06-16 01:17:18 - 2012-06-17T20:16:39Z 2003 -
dc.identifier.issn 1687-6172 -
dc.description Bio Med Central open access -
dc.description.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.     -
dc.language.iso en -
dc.title Removing impulse bursts from images by training-based filtering -
dc.type fi=Artikkeli aikakauslehdessä | en=Journal article| -
dc.identifier.urn urn:nbn:uta-3-546 -
dc.identifier.doi 10.1155/S1110865703211045 -
dc.type.version fi=Kustantajan versio | en=Publisher's version| -
dc.subject.okm fi=Matematiikka | en=Mathematics| -
dc.journal.title EURASIP Journal on Advances in Signal Processing -
dc.journal.volume 3 -
dc.journal.number 472580 -
dc.journal.volumepagerange 223-237 -
dc.oldstats 72 -

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