Adaptive filter based on TDBLMS algorithm for image noise cancellation

An adaptive filter for two-dimensional block processing in image noise cancellation is proposed in this paper. The processing includes two phases. They are the weight-training phase and the block-adaptation phase. The weight-training phase obtains the suitable weight matrix to be the initial one for the block-adaptation phase such that a higher signal-to-noise ratio can be achieved. To verify the feasibility of this approach, the simulation with the block sizes of 4×4, 8×8, 16×16, and 32×32 are performed. The simulation results show that this approach performs well