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Image Processing On Line
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Image Processing On Line
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DCT Image Denoising: a Simple and Effective Image Denoising Algorithm

descriptionPublicationkeyboard_double_arrow_right Article 24 Oct 2011Publisher:Image Processing On LineJournal:Image Processing On Line, volume 1, pages 292-296 (eissn: 2105-1232, Copyright policy )Funded by:EC | TWELVE LABOURS, ANR | STEREO
Authors: Guillermo Sapiro; Guoshen Yu;

doi: 10.5201/ipol.2011.ys-dct

DCT Image Denoising: a Simple and Effective Image Denoising Algorithm

Abstract

This work presents a simple but effective denoising algorithm using a local DCT thresholding. This thresholding is applied separately to each color channel after decorrelation. Due to its simplicity and excellent performance, this contribution can be considered as a baseline for comparison and lower bound of performance for newly developed techniques.

Related Organizations
Keywords

Electronic computers. Computer science, QA75.5-76.95

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 109
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
109
Top 10%
Top 10%
Top 10%
gold