Video denoising and detail enhancement method and device
A detail and video technology, applied in the video field, to achieve the effects of denoising enhancement, good viewing experience, and quality improvement
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Embodiment 1
[0027] figure 1 It is a technical flow chart of Embodiment 1 of the present invention, combined with figure 1 , a video denoising and detail enhancement method according to an embodiment of the present invention, mainly comprising the following steps:
[0028] Step 110: Obtain the pixel value of the current pixel in the frame as the first pixel value, and obtain the pixel values of adjacent pixels on the top, bottom, left, and right sides of the current pixel;
[0029] The denoising method adopted in the embodiment of the present invention is based on the principle of Gaussian denoising. Gaussian denoising is a linear smoothing denoising method. The denoising process is actually a weighted average process for each pixel in the image. In the process of Gaussian denoising, the pixel value of each pixel is obtained by weighted average of itself and other pixel values in the neighborhood. In the embodiment of the present invention, the pixels adjacent to the upper, lower, le...
Embodiment 2
[0045] Figure 4 It is the technical flow chart of Embodiment 2 of the present invention, combining Figure 4 , in a method for video denoising and detail enhancement in an embodiment of the present invention, the process of video denoising is further implemented by the following steps:
[0046] Step 210: Obtain the pixel value of the current pixel point in the frame as the first pixel value, and obtain the pixel values of adjacent pixel points at the top, bottom, left, and right sides of the current pixel point;
[0047] Such as figure 2 As shown, the pixel value of the current pixel is P(i,j), the pixel value of the adjacent pixel on the left is P(i-1,j), and the pixel value of the adjacent pixel on the right is P (i+1,j), the pixel value of the adjacent pixel on the upper side is P(i,j-1), and the pixel value of the adjacent pixel on the lower side is P(i,j+1).
[0048] Step 220: Calculate the denoising weights of the adjacent pixels on the upper, lower, left, and rig...
Embodiment 3
[0082] Figure 5 It is the technical flowchart of Embodiment 3 of the present invention, combining Figure 5 , in a method for video denoising and detail enhancement in an embodiment of the present invention, the process of detail enhancement is further implemented by the following steps:
[0083] Step 310: Obtain the pixel value of the Nth pixel that is in the same row as the current pixel and located behind the current pixel, and acquire the Mth pixel that is in the same column as the pixel and located below the pixel The pixel value of the (M, N)th pixel that is in the same row as the Mth pixel and in the same column as the Nth pixel is acquired.
[0084] Such as image 3 As shown, P(i,j) is the pixel value before denoising of the current pixel, P(i+N,j) is the pixel value of the Nth pixel, P(i,j+M) is the pixel value of the Mth pixel, and P(i+N, j+M) is the pixel value of the (M, N)th pixel.
[0085] Step 320: judging whether the current pixel point is the detail pixel...
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