Invention Grant
US08150196B2 Reduction filter based on smart neighbor selection and weighting (NRF-SNSW) 有权
基于智能邻居选择和权重的降噪滤波器(NRF-SNSW)

Reduction filter based on smart neighbor selection and weighting (NRF-SNSW)
Abstract:
The present disclosure describes a method and apparatus for filtering noise in a video image, comprising receiving a first video image, a second video image and motion information wherein the first image may be an image to be filtered and the second image may be a filtered image wherein the second image may be temporally related to said first image. The method may further include, for at least one pixel in the first video image, selecting at least one neighbor of the pixel from the first video image and selecting at least one neighbor of the pixel from said second video image, wherein selection of the neighbors from the first video image and the second video image may be based on said motion information; selecting a subset of the neighbors wherein the subset may be less than or equal to a sum of neighbors from the first video image and the second video image; determining a weighted average of the subset of said neighbors and the pixel; and outputting the weighted average as a filtered pixel of the first video image. Of course, many alternatives, variations and modifications are possible without departing from this embodiment.
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