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Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression

8 years 10 months ago
Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression
In this paper, we extend a (2-D) data-adaptive steering kernel regression framework for image processing to a (3-D) spatio-temporal framework for processing video. In particular, we propose a motionassisted steering kernel (MASK) suitable for interpolating video data spatially, temporally, or spatio-temporally, and for video noise reduction. We present an algorithm for multi-frame interpolation and reconstruction of video data, and present several simulation results on synthetic and real video data. Comparisons between single-frame and multi-frame kernel regression and with other methods demonstrate the effectiveness of our approach.
Hiroyuki Takeda, Peter van Beek, Peyman Milanfar
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICIP
Authors Hiroyuki Takeda, Peter van Beek, Peyman Milanfar
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