Optimal parameter selection for bilateral filters using Poisson unbiased risk estimate
Data(s) |
2012
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Resumo |
Bilateral filters perform edge-preserving smoothing and are widely used for image denoising. The denoising performance is sensitive to the choice of the bilateral filter parameters. We propose an optimal parameter selection for bilateral filtering of images corrupted with Poisson noise. We employ the Poisson's Unbiased Risk Estimate (PURE), which is an unbiased estimate of the Mean Squared Error (MSE). It does not require a priori knowledge of the ground truth and is useful in practical scenarios where there is no access to the original image. Experimental results show that quality of denoising obtained with PURE-optimal bilateral filters is almost indistinguishable with that of the Oracle-MSE-optimal bilateral filters. |
Formato |
application/pdf |
Identificador |
http://eprints.iisc.ernet.in/46538/1/IEEE_Int_Con_Ima_Pro_121_2012.pdf Kishan, Harini and Seelamantula, Chandra Sekhar (2012) Optimal parameter selection for bilateral filters using Poisson unbiased risk estimate. In: 2012 19th IEEE International Conference on Image Processing (ICIP), Sept. 30 2012-Oct. 3 2012, Orlando, Florida, USA. |
Publicador |
IEEE |
Relação |
http://dx.doi.org/10.1109/ICIP.2012.6466810 http://eprints.iisc.ernet.in/46538/ |
Palavras-Chave | #Electrical Engineering |
Tipo |
Conference Paper PeerReviewed |