* "Videos" folder contains 14 videos, one for each of the videos listed in Table 1 of the paper.

* Each video is a collage of the following 9 videos
	- (1) Input Video
	- (2) A Ground Truth video showing the undistorted static background 
	- Outputs of restoration methods (3)DL (5)LWB (5)SBR-RPCA.   
	- Outputs of the methods we propose (6)CS (7)PEOF (8)CS+PEOF
	- We also tried supplementing our "CS+PEOF" methods with an RPCA stage. The video is shown in (9)CS+PEOF+RPCA.
	  As mentioned in the paper, we could remove the spatio-temporal noisy artifacts from the video but the visual and numerical quality of the mean image improved only marginally.


*Each video is of 6 seconds.
	-First 2 second segment shows the restoration video output of each method
	-The next 2 second segment shows the mean of each restoration method
	-The next 2 seconds highlights the local SSIM errors of restoration result of each method wrt Ground Truth. The video segment is created in the following manner
		- 0.7*RestoredImage + 0.3*(1-SSIM_Map).*Red_Color. Hence, wherever the ssim values are lower, one will see those regions getting highlighted with brighter red color.
		- You can observe that the current state of the art methods do not reconstruct the background correctly. Particularly, SBR-RPCA gives a very stable video, but is significantly distorted wrt the
		  ground truth.



Due to storage space limitations, we have included the results only for few sample video sequences. Results for the complete set of video sequences can be accessed at [1], [2].
