Applies the rolling guidance filter to an image

dst = cv.rollingGuidanceFilter(src)
dst = cv.rollingGuidanceFilter(src, 'OptionName',optionValue, ...)

Input

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

Output

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

Options

• Diameter Diameter of each pixel neighborhood that is used during filtering. If it is non-positive, it is computed from SigmaSpace. default -1
• SigmaColor Filter sigma in the color space. A larger value of the parameter means that farther colors within the pixel neighborhood (see SigmaSpace) will be mixed together, resulting in larger areas of semi-equal color. default 25.0
• SigmaSpace Filter sigma in the coordinate space. A larger value of the parameter means that farther pixels will influence each other as long as their colors are close enough (see SigmaColor). When Diameter>0, it specifies the neighborhood size regardless of SigmaSpace. Otherwise, Diameter is proportional to SigmaSpace. default 3.0
• NumIter Number of iterations of joint edge-preserving filtering applied on the source image. default 4
• BorderType Border mode used to extrapolate pixels outside of the image. See cv.copyMakeBorder. default 'Default'

For more details, please see [zhang2014rolling].

Note that cv.rollingGuidanceFilter uses cv.jointBilateralFilter as the edge-preserving filter.

References

[zhang2014rolling]:

Qi Zhang, Xiaoyong Shen, Li Xu, and Jiaya Jia. "Rolling guidance filter". In Computer Vision-ECCV 2014, pages 815-830. Springer, 2014.