Deinterlacing method based on movement detection
A motion detection and de-interlacing technology, applied in the direction of standard conversion, etc., can solve the problems of large noise influence, affecting de-interlacing effect, and inability to use time domain information, so as to simplify calculation, avoid adverse effects, and avoid inaccurate information between frames Effect
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[0031] 1. Find the maximum correlation in the frame, assuming that the selection range is j±2, use the points on the left and right of the correlation point to denoise, and each direction corresponds to the sum of the absolute differences of the pixel values in the field:
[0032] I0=|P(i-1, j)-P(i+1, j)|+|P(i+1, j-1)-P(i-1, j-1)|+|P(i -1,j+1)-P(i+1,j+1)|;
[0033] I1=|P(i-1, j-1)-P(i+1, j+1)|+|P(i-1, j-2)-P(i+1, j)|+|P (i-1,j)-P(i+1,j+2)|;
[0034] I2=|P(i-1, j-2)-P(i+1, j+2)|+|P(i-1, j-3)-P(i+1, j+1)|+ |P(i-1, j-1)-P(i+1, j+3)|;
[0035]The sum of absolute differences of pixel values in the field corresponding to the maximum directional correlation=min(I1, I2, I0);
[0036] If min(I1, I2, I0)=I0, then the two points with the largest intra-field directional correlation are Xup and Xdown:
[0037] Xup=P(i-1,j);
[0038] Xdown=P(i+1,j);
[0039] The mean value X of the pixel values of two points adjacent to the point to be interpolated on the corresponding directio...
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