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Noise Parameter Estimation for Poisson Corrupted Images Using Variance Stabilization Transforms | IEEE Journals & Magazine | IEEE Xplore

Noise Parameter Estimation for Poisson Corrupted Images Using Variance Stabilization Transforms


Abstract:

Noise is present in all images captured by real-world image sensors. Poisson distribution is said to model the stochastic nature of the photon arrival process and agrees ...Show More

Abstract:

Noise is present in all images captured by real-world image sensors. Poisson distribution is said to model the stochastic nature of the photon arrival process and agrees with the distribution of measured pixel values. We propose a method for estimating unknown noise parameters from Poisson corrupted images using properties of variance stabilization. With a significantly lower computational complexity and improved stability, the proposed estimation technique yields noise parameters that are comparable in accuracy to the state-of-art methods.
Published in: IEEE Transactions on Image Processing ( Volume: 23, Issue: 3, March 2014)
Page(s): 1329 - 1339
Date of Publication: 16 January 2014

ISSN Information:

PubMed ID: 24723530

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