Spatio-temporal joint filter for noise reduction

Image analysis – Image enhancement or restoration – Artifact removal or suppression

Reexamination Certificate

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C382S261000, C382S264000, C382S265000, C382S266000, C358S463000, C348S241000, C348S470000, C348S606000, C348S607000, C348S619000, C348S909000, C348S910000

Reexamination Certificate

active

06999634

ABSTRACT:
A spatio-temporal joint filter and a spatial joint filter for noise reduction are disclosed. The spatio-temporal joint filter includes a spatial joint filter including the first and second sub filters having different characteristics and includes a temporal joint filter. When the present invention is adequately used, an edge/detail region of an image is well preserved, an aggressive noise reduction is performed on a flat region, and the temporal flicker problems are eliminated. Additionally, it has an intrinsic motion compensation effect by using the spatio-temporal correlation between the adjacent frames.

REFERENCES:
patent: 5600731 (1997-02-01), Sezan et al.
patent: 5771318 (1998-06-01), Fang et al.
patent: 6067125 (2000-05-01), May
D.T.Kuan et al., “Adaptive Noise Smoothing Filter For Images With Signal-Dependent Noise”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Mar. 1985, vol. PAM1-7, No. 2, pp. 165-177.
M.K. Ozkan et al. “Adaptive Motion-Compensated Filtering of Noisy Image Sequences”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 3, No. 4, Aug. 1993 pp. 277-290.
Jong-Sen Lee, “Digital Enhancement and Noise Filtering by Use of Local Statistics”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-2, No. 2, Mar. 1980.
Sezan et al. “Temporally Adaptive Filtering of Noisy Image Sequences Using a Robust Motion Estimation Algorithm” 1991, Electronic Imaging Research Laboratories, Esatman Kodak Company, pp. 2429-2432.

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