Temporal noise reduction of Bayer matrixed video data
Angelo Bosco, Matilde Mancuso, Sebastiano Battiato, Giuseppe Spampinato · 2003
This paper describes a new approach for noise reduction of video sequences that directly processes raw data frames acquired by an image sensor. The proposed noise reduction filter operates on Bayer matrixed video sequences instead of the canonical YUV format allowing saving of resources in terms of time and space; this is particularly relevant for real time processing. Noise level is constantly monitored in order to change the filter strength adaptively. Experiments show the effectiveness of the proposed approach.