Applies weighted median filter to an image

dst = cv.weightedMedianFilter(src, joint)
dst = cv.weightedMedianFilter(src, joint, 'OptionName',optionValue, ...)

Input

• src Source 8-bit or floating-point, 1-channel or 3-channel image.
• joint Joint 8-bit, 1-channel or 3-channel image.

Output

• dst Destination image of the same size and type as src.

Options

• Radius Radius of filtering kernel, should be a positive integer. Default 7
• Sigma Filter range standard deviation for the joint image. Default 25.5
• WeightType The type of weight definition. Specifies weight types of weighted median filter, default 'EXP'. One of:
  • EXP exp(-|I1-I2|^2 / (2*sigma^2))
  • IV1 (|I1-I2| + sigma)^-1
  • IV2 (|I1-I2|^2 + sigma^2)^-1
  • COS dot(I1,I2) / (|I1|*|I2|)
  • JAC (min(r1,r2) + min(g1,g2) + min(b1,b2)) / (max(r1,r2) + max(g1,g2) + max(b1,b2))
  • OFF unweighted
• Mask A 0-1 mask that has the same size with I. This mask is used to ignore the effect of some pixels. If the pixel value on mask is 0, the pixel will be ignored when maintaining the joint-histogram. This is useful for applications like optical flow occlusion handling. Not set by default.

For more details about this implementation, please see [zhang2014100+].

References

[zhang2014100+]:

Qi Zhang, Li Xu, and Jiaya Jia. "100+ Times Faster Weighted Median Filter (WMF)". In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 2830-2837. IEEE, 2014.