TIME-OF-FLIGHT DEPTH IMAGE DENOISING USING PRIOR NOISE INFORMATION

摘要：

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.

关键词： Time-Of-Flight Denoising Wavelet Non-Local-Means

作者: T.Edeler K.Ohliger S.Hussmann A.Mertins

作者单位: Westcoast University of Applied Sciences (FHW), Heide, 25746 Germany Institute for Signal Processing, University of Lubeck, 23538 Germany

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 119-122

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）