Edge-preserving filtering of images with low photon counts

IEEE Transactions on Pattern Analysis and Machine Intelligence
John A LeeAnne Bol

Abstract

Edge-preserving filters such as local M-smoothers or bilateral filtering are usually designed for Gaussian noise. This paper investigates how these filters can be adapted in order to efficiently deal with Poissonian noise. In addition, the issue of photometry invariance is addressed by changing the way filter coefficients are normalized. The proposed normalization is additive, instead of being multiplicative, and leads to a strong connection with anisotropic diffusion. Experiments show that ensuring the photometry invariance leads to comparable denoising performances in terms of the root mean square error computed on the signal.

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Citations

Sep 22, 2009·Cancer radiothérapie : journal de la Société française de radiothérapie oncologique·X GeetsV Grégoire
May 27, 2008·Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology·Pierre CastadotVincent Grégoire
Nov 5, 2013·IEEE Transactions on Medical Imaging·G SchrammJ van den Hoff
Jul 25, 2013·Physics in Medicine and Biology·Rongxiao ZhangBrian W Pogue
Jan 4, 2017·Physics in Medicine and Biology·Carlos HuergaEduardo Guibelalde
Feb 16, 2011·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Vincent Grégoire, Arturo Chiti

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