Method and apparatus for improving quality of composite...

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

Reexamination Certificate

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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.

REFERENCES:
patent: 6028646 (2000-02-01), Jeong et al.
patent: 2006/0274210 (2006-12-01), Kim
patent: 2009/0175552 (2009-07-01), Mallat
Baraniuk et al, “Improvement Wavelet denoising via empirical Wiener filtering”, Jul. 1997, Proceedings of SPIE, vol. 3169, pp. 389-399.
Donoho, “De-noising by Soft-Thresholding”, May 1995, IEEE Trans. Information Theory, vol. 41, No. 3, pp. 613-627.
Krim et al., “On denoising and best signal representation”, Nov. 1999, IEEE Trans. Information Theory, vol. 45, No. 7, pp. 2225-2238.
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.

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