Method of removing noise from digital moving picture data

Television – Image signal processing circuitry specific to television – Combined noise reduction and transition sharpening

Reexamination Certificate

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C348S624000, C348S630000

Reexamination Certificate

active

07369181

ABSTRACT:
Provided is a method of removing noise from digital moving picture data reducing the number of frames used in a temporal filtering operation and able to detect motion between frames easily. The method comprises a method of spatial filtering, a method of temporal filtering, and a method of performing the spatial filtering and the temporal filtering sequentially. The spatial filtering method applies a spatial filtering in a YCbCr color space, preserving a contour/edge in the image in the spatial domain, and generating a weight that is adaptive to the noise for discriminating the contour/edge in the temporal filtering operation. The temporal filtering method applies temporal filtering based on motion detection and scene change detection, compensating for global motion, the motion detection considering the brightness difference and color difference of the pixels compared between frames in the temporal filtering operation, and a weight that is adaptive to the noise for detecting the motion in the temporal filtering operation. The spatial filtering method is preferably performed first, and the temporal filtering method is performed with the result of the spatial filtering.

REFERENCES:
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Song et al., “Edge-preserving noise filtering based on adaptive windowing”, IEEE Trans. On Circuits and Systems, Aug. 1988, vol. 35, No. 8, pp. 1048-1055.

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