## Nonparametric noise estimation method for raw images |

JOSA A, Vol. 31, Issue 4, pp. 863-871 (2014)

http://dx.doi.org/10.1364/JOSAA.31.000863

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### Abstract

Optimal denoising works at best on raw images (the image formed at the output of the focal plane, at the CCD or CMOS detector), which display a white signal-dependent noise. The noise model of the raw image is characterized by a function that given the intensity of a pixel in the noisy image returns the corresponding standard deviation; the plot of this function is the *noise curve*. This paper develops a nonparametric approach estimating the noise curve directly from a single raw image. An extensive cross-validation procedure is described to compare this new method with state-of-the-art parametric methods and with laboratory calibration methods giving a reliable ground truth, even for nonlinear detectors.

© 2014 Optical Society of America

**OCIS Codes**

(040.0040) Detectors : Detectors

(040.1520) Detectors : CCD, charge-coupled device

(040.3780) Detectors : Low light level

(100.2960) Image processing : Image analysis

(100.2980) Image processing : Image enhancement

(110.4280) Imaging systems : Noise in imaging systems

**ToC Category:**

Image Processing

**History**

Original Manuscript: November 20, 2013

Revised Manuscript: February 9, 2014

Manuscript Accepted: February 19, 2014

Published: March 31, 2014

**Citation**

Miguel Colom, Antoni Buades, and Jean-Michel Morel, "Nonparametric noise estimation method for raw images," J. Opt. Soc. Am. A **31**, 863-871 (2014)

http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-31-4-863

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