Abstract | ||
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The paper presents a novel method for estimating the variance of noise in a digital image. This method is based on filtering corrupted image using finite differences filter. As a result, the original signal is removed while noise remains so its variance can be calculated. The proposed method was verified on test images corrupted by the additive Gaussian distributed noise. The method was compared with several previously published estimation methods. |
Year | Venue | Keywords |
---|---|---|
2018 | 2018 41ST INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) | digital filter, finite differences, noise estimation |
Field | DocType | Citations |
Digital filter,Variance estimation,Finite difference,Computer science,Filter (signal processing),Algorithm,Digital image,Real-time computing,Gaussian | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Janusz Pawel Kowalski | 1 | 1 | 3.48 |
Grzegorz Mikołajczak | 2 | 5 | 5.58 |
Jakub Peksiński | 3 | 5 | 5.58 |