Image analysis – Image enhancement or restoration – Artifact removal or suppression
Reexamination Certificate
2011-07-26
2011-07-26
Perungavoor, Sath V (Department: 2624)
Image analysis
Image enhancement or restoration
Artifact removal or suppression
C382S232000, C382S240000, C382S254000, C382S260000, C382S261000, C348S645000, C348S627000, C348S708000
Reexamination Certificate
active
07986854
ABSTRACT:
A method of improving picture quality in a composite video burst signal includes dividing the composite video burst signal into a plurality of frequency bands using a low pass filter and a high pass filter, performing wavelet packet filtering of frequency bands including a chrominance signal having energy higher than a specified threshold among the plurality of frequency bands, and performing Wiener filtering of frequency bands including a chrominance signal having energy lower than a specified threshold.
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Jang et al., “Locally adaptive Wiener filtering in wavelet domain for image restoration”, Dec. 1997, in Proc. IEEE TENCON '87 Conf., pp. 25-28.
Kaur et al. “Image Denoising using Wavelet Thresholding”, 2002, Indian Conference on Computer Vision, Graphics and Image Processing.
Kim Jun-Young
Kim Sung-Hee
Lee Hyun-seung
Lee Ji-won
Lim Bo-ra
Heidemann Jason
Industry-University Cooperation Foundation Sogang University
Perungavoor Sath V
Samsung Electronics Co,. Ltd.
Sughrue & Mion, PLLC
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