Optimal parameter selection for bilateral filters using Poisson unbiased risk estimate

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.

PDF IEEE_Int_Con_Ima_Pro_121_2012.pdf - Published Version Restricted to Registered users only Download (659kB) | Request a copy

Abstract

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.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright of this article belongs to IEEE.
Keywords:	Poisson Noise; Denoising; PURE; Bilateral Filter; Raised-Cosine Kernel
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	02 Jul 2013 06:52
Last Modified:	02 Jul 2013 06:52
URI:	http://eprints.iisc.ac.in/id/eprint/46538

Actions (login required)

View Item