Combined wavelet domain and temporal video denoising

We develop a new filter which combines spatially adaptive noise filtering in the wavelet domain and temporal filtering in the signal domain. For spatial filtering, we propose a new wavelet shrinkage method, which estimates how probable it is that a wavelet coefficient represents a "signal of in...

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Bibliographic Details
Published inAdvanced Video and Signal Based Serveillance: 2003 IEEE Conference On pp. 334 - 341
Main Authors Pizurica, A., Zlokolica, V., Philips, W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Adaptive filters
Application software
Information filtering
Information filters
Noise reduction
Real time systems
Video compression
Videoconference
Wavelet analysis
Wavelet domain
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ISBN9780769519715
0769519717
DOI10.1109/AVSS.2003.1217940

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Summary:We develop a new filter which combines spatially adaptive noise filtering in the wavelet domain and temporal filtering in the signal domain. For spatial filtering, we propose a new wavelet shrinkage method, which estimates how probable it is that a wavelet coefficient represents a "signal of interest" given its value, given the locally averaged coefficient magnitude and given the global subband statistics. The temporal filter combines a motion detector and recursive time-averaging. The results show that this combination outperforms single resolution spatio-temporal filters in terms of quantitative performance measures as well as in terms of visual quality. Even though our current implementation of the new filter does not allow real-time processing, we believe that its optimized software implementation could be used for real- or near real-time filtering.
ISBN:9780769519715
0769519717
DOI:10.1109/AVSS.2003.1217940