Adaptive Temporal Filtering For CFA Video Sequences
Angelo Bosco, Masstmo Mancuso, Sebastiano Battiato · 2003
This paper describes a new approach for video sequences noise reduction that directly processes raw data frames acquired by an image sensor. The proposed noise reduction filter works on CFA- (Color Filter Array) Bayer matrixed video data instead of the canonical YUV format. Working on CFA raw frames allows saving resources in terms of time and space; this is particularly relevant for real time processing. Noise level is continuously monitored in order to modify the filter strength adaptively. Experiments demonstrate the effectiveness of the proposed method.