NDLI: Recursive Type of Video-Data Dependent Weighted Average Filters for Video Signals Corrupted by Gaussian Noise

Content Provider	IEEE Xplore Digital Library
Author	Tada, K. Taguchi, A.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Musashi Inst. of Technol., Tokyo (Tada, K.; Taguchi, A.)
Abstract	The restoration of video signals corrupted by the additive noise is important for getting the high quality image and the high compression ratio of video signals. In this paper, we propose a novel restoration method for video signals corrupted by the Gaussian noise. In this paper we propose a recursive type of spatio-temporal filter. Conventional spatio-temporal filters are used only input sequences (i.e., 3D-FIR filters). 3D-FIR filters cannot be obtained good filtering performance in still regions of an image sequence. On the other hand, the recursive type filters have strong noise attenuation property at the still region. However, the motion is degraded by the recursive type filtering. To overcome this drawback, we add motion information that controls the weight of the previous output sequence. Thus, the proposed data dependent filter can reduce the additive noise efficiently while preserving the signal edge/detail and motion
Sponsorship	ECTI, Thailand NECTEC, Thailand King Mongkut's Inst. of Tech., Thailand IEEE Circuits and Syst. Soc
Starting Page	692
Ending Page	696
File Size	4429511
Page Count	5
File Format	PDF
ISBN	0780397401
DOI	10.1109/ISCIT.2006.340023
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-18
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Additive noise Filters Image coding Signal restoration Filtering Gaussian noise Video compression Attenuation Image restoration Image sequences
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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