DocumentCode
3339841
Title
A new approach for very dark video denoising and enhancement
Author
Xu, Qing ; Jiang, Hailin ; Scopigno, Riccardo ; Sbert, Mateu
Author_Institution
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
1185
Lastpage
1188
Abstract
The paper presents a novel three-stage algorithm for very-low-light video denoising and enhancement. The proposed technique invokes twice, in the first and the third stages, the well-known Non-Local Means (NLM) method for spatial and temporal denoising: it is well adapted to the application, leading to the definition of a novel NLM tool. The intermediate stage performs a custom tone adjustment specifically aimed at enlarging the dynamic range of very dark videos. The overall approach transforms very dark videos into more watchable ones, effectively reduces very high noise, and all in all, produces high quality restored image sequences outperforming the recent state-of-the-art results. Additionally, the first and third stages can be combined as a two-step filtering scheme for normal-light videos: the novel denoising solution achieves a heavy noise removal, while reducing motion blur artifacts and preserving image details.
Keywords
image denoising; image enhancement; image restoration; image sequences; transforms; video signal processing; heavy noise removal; high quality restored image sequences; motion blur artifacts; nonlocal means; spatial denoising; temporal denoising; transforms; very dark video denoising; very dark video enhancement; very-low-light video denoising; Dynamic range; Image color analysis; Noise reduction; PSNR; Pixel; Runtime; Noise reduction; Non-local means; Tone mapping; Very low light video; Video signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5651838
Filename
5651838
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