Research Article Open Access

Comparison of Denoising Algorithms for Urban Scenes

Samuel Kozaitis1
  • 1 Florida Institute of Technology, United States
American Journal of Engineering and Applied Sciences
Volume 10 No. 2, 2017, 632-638

DOI: https://doi.org/10.3844/ajeassp.2017.632.638

Submitted On: 13 June 2017 Published On: 20 June 2017

How to Cite: 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

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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Keywords

  • Algorithms
  • Digital Signal Processing
  • Denoising
  • Image Processing
  • Medical Imaging