blur_anisotropic: Blur image anisotropically, in an edge-preserving way.

In imager: Image Processing Library Based on 'CImg'

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 documentation built on May 29, 2024, 1:38 a.m.