Motion and Region Detection for Effective Recursive Temporal Noise Reduction

This paper proposes a method to integrate motion and region information into a recursive temporal noise reduction filter for video signals. We also propose an artifact-robust motion detection algorithm suitable for noise reduction. It is based on local low-pass and maximum filters and on noise-adaptive global gray-level stabilization. Region information is obtained from difference frames resulting from the proposed motion detection. The detected motion and regions are then integrated to compute the temporal filter coefficients that reduce both noise and motion blur. Simulation results show that the proposed method increases the performance of recursive temporal filtering and achieves an average gain of 3.6 dB.