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A non-parametric approach for the estimation of intensity-frequency dependent noise

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

We present a non-parametric method estimating an intensity and frequency dependent noise from a single image. The noise model is estimated on image patches and can be used consequently in all patch-based denoising methods. The method applies to cases where no access is granted to the image noise model, in particular to scanned photographs and JPEG images. The general noise model and the method to evaluate it are validated by comparing the estimations with the corresponding ground-truth curves for raw and JPEG images. Denoising experiments on scanned photographs also support the efficiency of the estimation method. © 2014 IEEE.
Original languageEnglish
Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
PublisherIEEE
Pages4261-4265
ISBN (Print)9781479957514
DOIs
Publication statusPublished - 28 Jan 2014
Externally publishedYes

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

Acknowledgement: work partially supported by the Centre National d’Etudes Spatiales (CNES, MISS Project), the European Research Council (Advanced Grant Twelve Labours), the Office of Naval Research (Grant N00014-97-1-0839), Direction Gen´ erale de ´ l’Armement (DGA), Fondation Mathematique Jacques Hadamard, ´ and Agence Nationale de la Recherche (Stereo project).

Research Keywords

  • Blind noise estimation
  • frequency-dependent noise
  • non-parametric noise model
  • signal-dependent noise

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