TY  - JOUR
AU  - Kozaitis, Samuel 
PY  - 2017
TI  - Comparison of Denoising Algorithms for Urban Scenes
JF  - American Journal of Engineering and Applied Sciences
VL  - 10
IS  - 2
DO  - 10.3844/ajeassp.2017.632.638
UR  - https://thescipub.com/abstract/ajeassp.2017.632.638
AB  - 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.