http://www.cnr.it/ontology/cnr/individuo/prodotto/ID197455

Unsupervised Estimation of Signal-Dependent CCD Camera Noise (Articolo in rivista)

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Unsupervised Estimation of Signal-Dependent CCD Camera Noise (Articolo in rivista) (literal)

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Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Massimo Selva, Lorenzo Stefani (2012)
Unsupervised Estimation of Signal-Dependent CCD Camera Noise
in EURASIP Journal on Advances in Signal Processing (Online); Springer, London (Regno Unito)
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Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Massimo Selva, Lorenzo Stefani (literal)

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IFAC-CNR: Institute of Applied Physics, Research Area of Florence, Via Madonna del Piano, 10, 50019 Sesto Fiorentino (FI), Italy DET-UniFI: Department of Electronics and Telecommunications, University of Florence, Via di Santa Marta, 3, 50139 Florence, Italy IFAC-CNR: Institute of Applied Physics, Research Area of Florence, Via Madonna del Piano, 10, 50019 Sesto Fiorentino (FI), Italy IFAC-CNR: Institute of Applied Physics, Research Area of Florence, Via Madonna del Piano, 10, 50019 Sesto Fiorentino (FI), Italy IFAC-CNR: Institute of Applied Physics, Research Area of Florence, Via Madonna del Piano, 10, 50019 Sesto Fiorentino (FI), Italy (literal)

Titolo

Abstract

This paper deals with an original method to estimate the noise introduced by optical imaging systems, such as CCD cameras. The power of the signal-dependent photon noise is decoupled from the power of the signal-independent electronic noise. The method relies on the multivariate regression of sample mean and variance. Statistically similar image pixels, non necessarily connected, produce scatterpoints that are clustered along a straight line, whose slope and intercept measure the signal-dependent and signal-independent components of the noise power, respectively. Experimental results carried out on a simulated noisy image and on true data from a commercial CCD camera highlight the accuracy of the proposed method and its applicability to separate R-G-B components that have been corrected for the nonlinear effects of the camera response function (CRF), but not yet interpolated to the the full size of the mosaiced R-G-B image. (literal)

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