Chinese Academy of Sciences

Beijing Smartlogic Technology Ltd.

Fengli Yan

Rui Han

Yang Luo

Ruoshan Guo

Renjun Tang

Xiaoli Tang

Lu Ye

The present invention discloses a contrast adaptive video denoising system, which comprises a frame memory for buffering the filtered frame; an inter-frame difference calculating module for inter-frame difference of the current input frame of the video and a previous filtered frame in the frame memory; a contrast calculating module for calculating the local contrast of the current input frame and inputting it into a low-contrast region detection module, a calculated low-contrast region confidence together with the inter-frame difference are input into a motion detection module to calculate the motion probability for each pixel. The motion adaptive temporal filtering module performs motion adaptive temporal filtering by using the current input frame of the video and the previous filtered frame in the frame memory as well as the motion probability of each pixel, and finally outputs the current filtered frame to store in the frame memory. Said system can solve the problems of motion tailing and blurring caused by conventional video denoising systems when processing low-contrast motion videos.

Contrast adaptive video denoising system

The present invention discloses a video denoising system based on noise correlation, said system comprises a unit for estimating correlation of noises of adjacent pixels, which receives input of the inter-frame difference and motion probability, and estimates correlation of noises of adjacent pixels according to correlation of inter-frame differences between adjacent pixels in a still region, and outputs a noise correlation coefficient; a maximum filtering weight adjusting unit, which adaptively adjusts the maximum weight for temporal filtering according to the noise correlation coefficient and outputs the maximum weight for temporal filtering; the maximum weight for temporal filtering can control the range of fluctuation of the temporal filtering weight and the difference between the denoising effects for different pixels. The system of the present invention can solve the problem of 'speckle' noise occurred when the video noises have adjacent correlation in the conventional temporal denoising system for videos.

Video denoising system based on noise correlation

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Beijing, China

Fengli Yan