Video denoising processing method and device based on fixed scene
A technology for video noise reduction and noise reduction processing, which is applied to TVs, color TVs, components of color TVs, etc., and can solve problems such as noise reduction and misjudgment.
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[0096] In a preferred embodiment, the processing module 300 performs background modeling on the down-sampled key component video data to extract the foreground area and the background area. The method includes:
[0097] The state of each pixel point in the nth frame uses a single Gaussian distribution model η(X n ,μ n ,∑ n ) to represent, where μ n is the mean value of the pixel at the nth frame, ∑ n is the covariance of the pixel at the nth frame, if the feature factor greater than the preset judgment threshold T, it is judged that the pixel is a foreground pixel; otherwise, the feature value of the pixel is considered to match the Gaussian distribution, and the pixel is judged to be a background pixel, wherein the d n =I n -μ n , I n is the gray value of the current pixel.
[0098] Under a more preferred implementation manner, the processing module 300 refers to the single Gaussian distribution model η (X n ,μ n ,∑ n ) to update:
[0099] mu n+1 =(1-α)μ n +αI ...
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