Abstract
Digital images are matrices of equally spaced pixels, each containing a photon count. This photon count is a stochastic process due to the quantum nature of light. It follows that all images are noisy. Ever since digital images have existed, numerical methods have been proposed to improve the signal-to-noise ratio. Such 'denoising' methods require a noise model and an image model. It is relatively easy to obtain a noise model. As will be explained in the present paper, it is even possible to estimate it from a single noisy image. © 2012 Cambridge University Press.
| Original language | English |
|---|---|
| Pages (from-to) | 475-576 |
| Journal | Acta Numerica |
| Volume | 21 |
| DOIs | |
| Publication status | Published - May 2012 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
Research was partly financed by the MISS project of Centre National d’Etudes Spatiales, the US Office of Naval Research under grant N00014-97-1-0839, and by the European Research Council’s ‘Twelve Labours’ advanced grant.
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