Paper Info
Title
Denoising Of Noisy And Compressed Video Sequences
Abstract
A novel denoising algorithm is presented for video sequences. The proposed approach takes advantage of the self similarity and redundancy of adjacent frames. The algorithm automatically estimates a signal dependent noise model for each level of a multi-scale pyramid. A variance stabilization transform is applied at each scale and a novel sequence denoising algorithm is used. Experiments show that the new algorithm is able to correctly remove highly correlated noise from dark and compressed movie sequences. Particularly, we illustrate the performance with indoor and lowlight scenes acquired with mobile phones.
Year
DOI
Venue
2017
10.5220/0006101501500157
PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 4
Keywords
Field
DocType
Video Denoising, Non-white Noise, Correlated Noise
Noise reduction,Computer vision,Computer science,Artificial intelligence,Video denoising
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Antoni Buades112212.11
Jose Luis Lisani2428.41