→ BibTeX
@article{ipol.2011.ys-dct,
title = {{DCT Image Denoising: a Simple and Effective Image Denoising Algorithm}},
author = {Yu, Guoshen and Sapiro, Guillermo},
journal = {{Image Processing On Line}},
volume = {1},
pages = {292--296},
year = {2011},
doi = {10.5201/ipol.2011.ys-dct},
}
% if your bibliography style doesn't support doi fields:
note = {\url{https://doi.org/10.5201/ipol.2011.ys-dct}}
- published
- 2011-10-24
- reference
- Guoshen Yu, and Guillermo Sapiro, DCT Image Denoising: a Simple and Effective Image Denoising Algorithm, Image Processing On Line, 1 (2011), pp. 292–296. https://doi.org/10.5201/ipol.2011.ys-dct
Communicated by Bartomeu Coll
Demo edited by Jose-Luis Lisani
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.
Download
- full text manuscript: PDF (2.2M)
- source code: TAR/GZ
History
- this article was converted to PDF on 2016-03-09
- the original version was published on 2011-10-24: manuscript, html version
IPOL Journal · Image Processing On Line
