denoiseImage: Denoise an image

In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Denoise an image

Description

Denoise an image using a spatially adaptive filter originally described in J. V. Manjon, P. Coupe, Luis Marti-Bonmati, D. L. Collins, and M. Robles. Adaptive Non-Local Means Denoising of MR Images With Spatially Varying Noise Levels, Journal of Magnetic Resonance Imaging, 31:192-203, June 2010.

Usage

denoiseImage(
  img,
  mask,
  shrinkFactor = 1,
  p = 1,
  r = 3,
  noiseModel = c("Rician", "Gaussian"),
  verbose = FALSE
)

Arguments

img	scalar image to denoise.
mask	optional to limit the denoise region.
shrinkFactor	downsampling level performed within the algorithm.
p	patch radius for local sample. can be a vector.
r	search radius from which to choose extra local samples. can be a vector.
noiseModel	either Rician or Gaussian.
verbose	boolean

Value

antsImage denoised version of image

Author(s)

N Tustison, B Avants

Examples

img <- antsImageRead(getANTsRData("rand")) %>% resampleImage(c(32, 32))
dimg <- denoiseImage(img, img * 0 + 1)
dimg2 <- denoiseImage(img)

neuroconductor-devel/ANTsR documentation built on July 3, 2025, 10:41 p.m.