Comparison of Denoising Algorithms for Urban Scenes
Samuel Kozaitis1 Show affiliations
- Florida Institute of Technology, United States
American Journal of Engineering and Applied Sciences, Volume 10, Issue 2, pp. 632–638 · doi.org/10.3844/ajeassp.2017.632.638
Abstract
Several new denoising algorithms have recently been presented that display comparable performance and it is unclear which provide the best results. We used the practical example of urban scenes to compare two of the top-performing algorithms. We found that when using the practical case of quantizing input and output imagery, the results were different than when using the conventional method for comparison.
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Kozaitis, S. (2017). Comparison of Denoising Algorithms for Urban Scenes. American Journal of Engineering and Applied Sciences, 10(2), 632–638. https://doi.org/10.3844/ajeassp.2017.632.638
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