Denoising TOF 3D images using confidence measures 1

mario frank, matthias plaue, fred hamprecht — Wed, 17 Aug 2011 16:59:12 -0000

This Matlab code takes a noisy image and a confidence map as input and outputs a denoised version of the image. The confidence map is used to locally adapt the strength of the filter. The advantage over non-adaptive methods is that fine structures are better preserved as unnecessary blurring is avoided. See an example here: http://people.inf.ethz.ch/mafrank/3D_denoising/3D_image_denoising.htm

This works very well for images from 3D TOF cameras with the squared signal amplitude as a confidence measure. The filter was developed especially for such TOF cameras as manufactured by PMD or SwissRanger.

The method is described in our OE paper

"Denoising of continuous-wave time-of-flight depth images using confidence measures". In Optical Engineering (Vol. 48, No. 7), SPIE 2009

Please contact us if you have comments or questions.

Comment by Mario Frank on 2011-08-17 17:01

Mario Frank — Wed, 17 Aug 2011 17:01:33 -0000

first submission

mloss.org Denoising TOF 3D images using confidence measures

Denoising TOF 3D images using confidence measures 1

Comment by Mario Frank on 2011-08-17 17:01