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BUILT-IN MATHEMATICA SYMBOL
TotalVariationFilter
TotalVariationFilter[image]
iteratively reduces noise while preserving edges in image.
TotalVariationFilter[image, param]
assumes a regularization parameter value param.
Details and Options
- TotalVariationFilter works with arbitrary grayscale and multichannel images, operating separately on each channel.
- TotalVariationFilter works with 3D as well as 2D images, and also with numerical data arrays of any rank.
- In TotalVariationFilter[image, param], the value of regularization parameter param is typically in the range 0 to 1.
- TotalVariationFilter takes a MaxIterations option that specifies the maximum number of iterations to be performed. By default, up to 30 iterations are performed.
- The type of noise to be removed can be specified by setting a Method option. Possible 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.
Examplesopen all
Basic Examples (1)
Remove Poisson noise from a low-light photo:
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