Abstract
Denoising video is an important task, especially for videos captured in dim lighting environments. The filtering of video in a volumetric manner with time as the third dimension can improve the results significantly. In this work a 3D bilateral filter for edge preserving smoothing of video sequences exploiting commodity graphics hardware is presented. A hardware friendly streaming concept has been implemented to allow the processing of video sequences of arbitrary length. The clear advantage of time-based filtering compared to frame-by-frame filtering is presented as well as solutions to current limitations for volume filtering on graphics hardware. In addition, a significant speedup over a CPU based implementation is shown.
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Langs, A., Biedermann, M. (2007). Filtering Video Volumes Using the Graphics Hardware. In: Ersbøll, B.K., Pedersen, K.S. (eds) Image Analysis. SCIA 2007. Lecture Notes in Computer Science, vol 4522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73040-8_89
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DOI: https://doi.org/10.1007/978-3-540-73040-8_89
Publisher Name: Springer, Berlin, Heidelberg
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