TotalVariationFilter

TotalVariationFilter[image]
iteratively reduces noise while preserving edges in image.

TotalVariationFilter[image,param]
assumes a regularization parameter value param.

Details and OptionsDetails and Options

  • TotalVariationFilter works with arbitrary 2D and 3D images, operating separately on each channel, as well as numerical data arrays of any rank.
  • In TotalVariationFilter[image,param], the value of regularization parameter param is typically in the range 0 to 1.
  • The following options can be specified:
  • MaxIterations30maximum number of iterations to be performed
    Method"Gaussian"type of noise to be removed
  • Possible Method settings include , , and .
  • By default, Gaussian noise is assumed. For removing salt-and-pepper noise or impulse noise, the Laplacian noise model gives the best results. Poisson noise typically describes low-light images as well as various types of multiplicative noise. »
Introduced in 2010
(8.0)
| Updated in 9
(9
.0)