Edge Preserving Filter

edgePreservingFilter smoothes Gaussian noise as well as salt and pepper noise in Image object while preserving the edges.

Usage

edgePreservingFilter(image, d = 11, threshold = 5, target = "new")

Arguments

image

An 8-bit (8U) 3-channel Image object.

d

The diameter of each pixel's neighborhood that is used during filtering. It must be equal to or greater than 3.

threshold

The threshold value which distinguishes between noise, outliers, and data.

target

The location where the results should be stored. It can take 3 values:

"new":: a new Image object is created and the results are stored inside (the default).
"self":: the results are stored back into image (faster but destructive).
An Image object:: the results are stored in another existing Image object. This is fast and will not replace the content of image but will replace that of target. Note that if target does not have the same dimensions, number of channels, and bit depth as image, an error may be thrown.

Value

If target="new", the function returns an Image object. If target="self", the function returns nothing and modifies image in place. If target is an Image object, the function returns nothing and modifies that Image object in place.

References

Reich, S., Wörgötter, F., & Dellen, B. (2018). A real-time edge-preserving denoising filter. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal. https://doi.org/10.5220/0006509000850094

Author

Simon Garnier, garnier@njit.edu

Examples

balloon <- image(system.file("sample_img/balloon1.png", package = "Rvision"))
balloon_smooth <- edgePreservingFilter(balloon)