Title :
Adaptive filter based on TDBLMS algorithm for image noise cancellation
Author :
Chen, Chuen-Yau ; Hsia, Chih-Wen
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
Abstract :
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
Keywords :
adaptive filters; image denoising; TDBLMS algorithm; adaptive filter; block-adaptation phase; higher signal-to-noise ratio; image noise cancellation; two-dimensional block processing; weight-training phase; Adaptive algorithm; Adaptive filters; Computational complexity; Convergence; Digital signal processing; Echo cancellers; Least squares approximation; Noise cancellation; Pixel; System identification;
Conference_Titel :
Green Circuits and Systems (ICGCS), 2010 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6876-8
Electronic_ISBN :
978-1-4244-6877-5
DOI :
10.1109/ICGCS.2010.5542977
