TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Machine learning for adaptive bilateral filtering

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoImage Processing: Algorithms and Systems XIII
KustantajaSPIE
Vuosikerta9399
ISBN (painettu)9781628414899
DOI - pysyväislinkit
TilaJulkaistu - 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIS&T/SPIE ELECTRONIC IMAGING / IMAGE PROCESSING: ALGORITHMS AND SYSTEMS -
Kesto: 1 tammikuuta 1900 → …

Julkaisusarja

NimiProceedings of SPIE - The International Society for Optical Engineering
KustantajaThe International Society for Optical Engineering
ISSN (painettu)0277-786X
ISSN (elektroninen)1996-756X

Conference

ConferenceIS&T/SPIE ELECTRONIC IMAGING / IMAGE PROCESSING: ALGORITHMS AND SYSTEMS
Ajanjakso1/01/00 → …

Tiivistelmä

We describe a supervised learning procedure for estimating the relation between a set of local image features and the local optimal parameters of an adaptive bilateral filter. A set of two entropy-based features is used to represent the properties of the image at a local scale. Experimental results show that our entropy-based adaptive bilateral filter outperforms other extensions of the bilateral filter where parameter tuning is based on empirical rules. Beyond bilateral filter, our learning procedure represents a general framework that can be used to develop a wide class of adaptive filters.