Time-of-flight depth image denoising using prior noise information

In this paper, we propose a novel way of using time-of-flight camera depth and amplitude images to reduce the noise in depth images with prior knowledge of spatial noise distribution, which is correlated with the incident light falling on each pixel. The denoising is done in wavelet space and the in...

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Bibliographic Details
Published inIEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS pp. 119 - 122
Main Authors Edeler, T, Ohliger, K, Hussmann, S, Mertins, A
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Cameras
Denoising
Multiresolution analysis
Noise reduction
Non-Local-Means
Pixel
PSNR
Time-Of-Flight
Wavelet
Wavelet transforms
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ISBN9781424458974
1424458978
ISSN2164-5221
DOI10.1109/ICOSP.2010.5656819

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Summary:In this paper, we propose a novel way of using time-of-flight camera depth and amplitude images to reduce the noise in depth images with prior knowledge of spatial noise distribution, which is correlated with the incident light falling on each pixel. The denoising is done in wavelet space and the influence and implications of the extended noise model to wavelet space and common denoising methods are shown.
ISBN:9781424458974
1424458978
ISSN:2164-5221
DOI:10.1109/ICOSP.2010.5656819