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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2014 IEEE International Conference on Image Processing, ICIP 2014 |
| Publisher | IEEE |
| Pages | 4261-4265 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479957514 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- Blind noise estimation
- frequency-dependent noise
- non-parametric noise model
- signal-dependent noise
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