Joint Removal of Random and Fixed-Pattern Noise Through Spatiotemporal Video Filtering

  title={Joint Removal of Random and Fixed-Pattern Noise Through Spatiotemporal Video Filtering},
  author={Matteo Maggioni and E. Sanchez-Monge and Alessandro Foi},
  journal={IEEE Transactions on Image Processing},
We propose a framework for the denoising of videos jointly corrupted by spatially correlated (i.e., nonwhite) random noise and spatially correlated fixed-pattern noise. Our approach is based on motion-compensated 3D spatiotemporal volumes, i.e., a sequence of 2D square patches extracted along the motion trajectories of the noisy video. First, the spatial and temporal correlations within each volume are leveraged to sparsify the data in 3D spatiotemporal transform domain, and then the… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 17 extracted citations

Sparsity-based no-reference image quality assessment for automatic denoising

Signal, Image and Video Processing • 2018
View 5 Excerpts
Highly Influenced

Improved Spatiotemporal Noise Reduction for Very Low-Light Environments

IEEE Transactions on Circuits and Systems II: Express Briefs • 2016
View 7 Excerpts
Highly Influenced

Robust removal of fixed pattern noise on multi-focus images

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2017
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 38 references

The influence curve and its role in robust estimation

F. R. Hampel
J. Amer. Statist. Assoc., vol. 69, no. 346, pp. 383–393, Jun. 1974. • 1974
View 8 Excerpts
Highly Influenced

Methods and systems for suppressing noise in images

A. Foi, M. Maggioni
U.S. Patent 13 943 035, Jul. 16, 2013. • 2013
View 1 Excerpt

Similar Papers

Loading similar papers…