imager: blur_anisotropic – R documentation

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blur_anisotropic

Blur image anisotropically, in an edge-preserving way.

Description

Standard blurring removes noise from images, but tends to smooth away edges in the process. This anisotropic filter preserves edges better.

Usage

blur_anisotropic(
  im,
  amplitude,
  sharpness = 0.7,
  anisotropy = 0.6,
  alpha = 0.6,
  sigma = 1.1,
  dl = 0.8,
  da = 30,
  gauss_prec = 2,
  interpolation_type = 0L,
  fast_approx = TRUE
)

Arguments

`im`	an image
`amplitude`	Amplitude of the smoothing.
`sharpness`	Sharpness.
`anisotropy`	Anisotropy.
`alpha`	Standard deviation of the gradient blur.
`sigma`	Standard deviation of the structure tensor blur.
`dl`	Spatial discretization.
`da`	Angular discretization.
`gauss_prec`	Precision of the diffusion process.
`interpolation_type`	Interpolation scheme. Can be 0=nearest-neighbor \| 1=linear \| 2=Runge-Kutta
`fast_approx`	If true, use fast approximation (default TRUE)

Examples

im <- load.image(system.file('extdata/Leonardo_Birds.jpg',package='imager'))
im.noisy <- (im + 80*rnorm(prod(dim(im)))) 
blur_anisotropic(im.noisy,ampl=1e4,sharp=1) %>% plot

imager

Image Processing Library Based on 'CImg'

v0.42.10

LGPL-3

Authors

Simon Barthelme [aut], David Tschumperle [ctb], Jan Wijffels [ctb], Haz Edine Assemlal [ctb], Shota Ochi [cre]

Initial release