Abstract: 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.

Abstract: The present invention discloses an image anti-aliasing system, which comprises an edge detection unit, a directional filter, a low-angle directional filter, a directional filtering fusion unit and a result fusion unit; the edge detection unit outputs the edge direction and edge confidence according to an input image, the directional filter outputs a directional filtering result based on the input image and the edge direction, the low-angle directional filter outputs a low-angle directional filtering result according to the input image and the edge direction; the directional filtering fusion unit weights and combines the result output from the directional filter and the result output from the low-angle directional filter according to the edge direction, and outputs a result of weighted combination of two directional filtering results; the result fusion unit outputs an optimized image according to the edge confidence, the input image and the result of the directional filtering fusion unit.

Abstract: 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.

Abstract: The present invention discloses an image anti-aliasing system, which comprises an edge detection unit, a directional filter, a low-angle directional filter, a directional filtering fusion unit and a result fusion unit; the edge detection unit outputs the edge direction and edge confidence according to an input image, the directional filter outputs a directional filtering result based on the input image and the edge direction, the low-angle directional filter outputs a low-angle directional filtering result according to the input image and the edge direction; the directional filtering fusion unit weights and combines the result output from the directional filter and the result output from the low-angle directional filter according to the edge direction, and outputs a result of weighted combination of two directional filtering results; the result fusion unit outputs an optimized image according to the edge confidence, the input image and the result of the directional filtering fusion unit.

Abstract: 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.

Abstract: 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.