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Bilateral Filter Evaluation Based on Exponential Kernels
KTH, Skolan för elektro- och systemteknik (EES), Signalbehandling. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0003-2298-6774
2012 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The well-known bilateral filter is used to smooth noisy images while keeping their edges. This filter is commonly used with Gaussian kernel functions without real justification. The choice of the kernel functions has a major effect on the filter behavior. We propose to use exponential kernels with L1 distances instead of Gaussian ones. We derive Stein's Unbiased Risk Estimate to find the optimal parameters of the new filter and compare its performance with the conventional one. We show that this new choice of the kernels has a comparable smoothing effect but with sharper edges due to the faster, smoothly decaying kernels.

sted, utgiver, år, opplag, sider
2012.
Emneord [en]
Image edge detection, Kernel, Noise, Noise measurement, Noise reduction, Radiometry, Smoothing methods
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-107436OAI: oai:DiVA.org:kth-107436DiVA, id: diva2:575916
Konferanse
21st International Conference on Pattern Recognition (ICPR)
Forskningsfinansiär
ICT - The Next Generation
Merknad

QC 20121212

Tilgjengelig fra: 2012-12-11 Laget: 2012-12-11 Sist oppdatert: 2013-04-11bibliografisk kontrollert

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