Abstract
We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide class of denoising algorithms, namely the local smoothing filters. Second, we propose a new algorithm, the nonlocal means (NL-means), based on a nonlocal averaging of all pixels in the image. Finally, we present some experiments comparing the NL-means algorithm and the local smoothing filters.
Keywords
SmoothingNon-local meansNoise reductionImage denoisingPixelNoise (video)Computer scienceStep detectionAlgorithmImage (mathematics)Artificial intelligenceBilateral filterNoise measurementMedian filterDigital imageVideo denoisingPattern recognition (psychology)Computer visionFilter (signal processing)Image processingVideo processing
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Publication Info
- Year
- 2005
- Type
- article
- Volume
- 2
- Pages
- 60-65
- Citations
- 6912
- Access
- Closed
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Cite This
Antoni Buades,
B. Coll,
Jean‐Michel Morel
(2005).
A Non-Local Algorithm for Image Denoising.
, 2
, 60-65.
https://doi.org/10.1109/cvpr.2005.38
Identifiers
- DOI
- 10.1109/cvpr.2005.38