An efficient spatio-temporal OS-filter for gamma-corrected video signals

Even original video sequences are often corrupted by a certain amount of noise. As a result of the gamma-correction in cameras, the observation noise is signal-dependent. We present a spatio-temporal order statistic (OS) noise-filter that takes into account the gamma-correction in the camera. This filter uses higher-order order statistics (HOOS). We make use of a range-test (RT) to determine on which signal values an estimate should be based. The noise-filter obtained in this way is adaptive and computationally efficient