@article {10.3844/ajeassp.2017.632.638,
article_type = {journal},
title = {Comparison of Denoising Algorithms for Urban Scenes},
author = {Kozaitis, Samuel},
volume = {10},
number = {2},
year = {2017},
month = {Jun},
pages = {632-638},
doi = {10.3844/ajeassp.2017.632.638},
url = {https://thescipub.com/abstract/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.},
journal = {American Journal of Engineering and Applied Sciences},
publisher = {Science Publications}
}