filters image using the guide image guide over range-r neighborhoods with pixel-value regularizer ϵ.
filters image so as to reduce noise, using image as the guide.
Details and Options
- GuidedFilter is a nonlinear local filter used for edge-preserving smoothing and structure transfer.
- GuidedFilter works with arbitrary 2D and 3D images, as well as numeric data arrays of any rank.
- GuidedFilter[image,r,ϵ] is equivalent to GuidedFilter[image,image,r,ϵ].
- The images image and guide need to have the same dimensions, but may have a different number of channels.
- The radius r controls the scale over which the filter operates. Features smaller than r will typically be averaged out, and features larger than r will remain.
- Larger values of ϵ result in more smoothing and less guidance, while smaller values of ϵ result in less smoothing and more guidance.
- At the edges of the image, smaller neighborhoods are used.
- If image is a multichannel image, the guidance is always applied to each channel separately.
- If guide is a multichannel image, operations involving guide are performed using vector processing.
- GuidedFilter can take an option MaxIterations to specify the maximum number of iterations. By default, one iteration is performed.
Examplesopen allclose all
Properties & Relations (3)
Wolfram Research (2015), GuidedFilter, Wolfram Language function, https://reference.wolfram.com/language/ref/GuidedFilter.html.
Wolfram Language. 2015. "GuidedFilter." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/GuidedFilter.html.
Wolfram Language. (2015). GuidedFilter. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/GuidedFilter.html