Robust non-local denoising of colored depth data

We give a brief discussion of denoising algorithms for depth data and introduce a novel technique based on the NL-means filter. A unified approach is presented that removes outliers from depth data and accordingly achieves an unbiased smoothing result. This robust denoising algorithm takes intra-pat...

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Bibliographic Details
Main Authors: Huhle, B., Schairer, T., Jenke, P., Strasser, W.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic noise
Cameras
CMOS technology
Filters
Image reconstruction
Lighting
Noise reduction
Robustness
Smoothing methods
Surface reconstruction
Online Access:Request full text
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Description
Summary:We give a brief discussion of denoising algorithms for depth data and introduce a novel technique based on the NL-means filter. A unified approach is presented that removes outliers from depth data and accordingly achieves an unbiased smoothing result. This robust denoising algorithm takes intra-patch similarity and optional color information into account in order to handle strong discontinuities and to preserve fine detail structure in the data. We achieve fast computation times with a GPU-based implementation. Results using data from a time-of-flight camera system show a significant gain in visual quality.
ISSN:2160-7508
2160-7516
DOI:10.1109/CVPRW.2008.4563158