Description:

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.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Matlab

Tags: 3d, Denoising, Normalized Convolution, Time Of Flight

Archive: download here

Comments

Mario Frank (on August 17, 2011, 17:01:33)

first submission

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