Image analysis – Image enhancement or restoration – Artifact removal or suppression
Reexamination Certificate
2011-02-08
2011-02-08
Hung, Yubin (Department: 2624)
Image analysis
Image enhancement or restoration
Artifact removal or suppression
C382S254000, C382S274000, C382S255000
Reexamination Certificate
active
07885478
ABSTRACT:
The present invention provides a noise reduction method for use in reducing noise of a digital image, the method comprising steps of: providing a plurality of luminance threshold values; determining a plurality of luminance feature values according to the luminance value of a target pixel and the luminance values of neighboring pixels of the target pixel; determining whether the target pixel is a noise point based on the comparison between each of the luminance feature values and each of the luminance threshold values corresponding thereto, respectively; and adjusting the luminance value, a first chrominance value and a second chrominance value of the target pixel if the target pixel is determined as a noise point. Using the noise reduction method of the present invention, not only noise of a digital image can be identified, but also the degradation caused by the noise can be reduced and thus the overall picture quality can be improved.
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Singh et al, “Adaptive Rank-Ordered Mean Filter for Removal of Impulse Noise from Images”,Industrial Technology, 2002. IEEE ICIT '02. 2002 IEEE International Conference on , vol. 2, no., pp. 980-985 vol. 2, Dec. 11-14, 2002.
Lee Wei-Kuo
Shen Yun-Hung
Hung Yubin
King Justin
MStar Semiconductor Inc.
WPAT, PC
Yentrapati Avinash
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