Title :
Image Noise Cancellation by Adaptive Filter with Weight-Training Mechanism (AFWTM)
Author :
Chen, Chuen-Yau ; Hsia, Chih-Wen
Author_Institution :
Nat. Univ. of Kaohsiung, Kaohsiung
Abstract :
In this paper, we proposed an adaptive filter with weight-training mechanism for image noise cancellation. The processing is divided into the weight-training phase and the block-adaptation phase. The weight-training phase finds a suitable weight matrix to be the initial one of the block-adaptation phase. Simulation results with the block sizes of 8 times 8, 16 times 16, and 32 times 32 verify that this approach perform well.
Keywords :
adaptive filters; image denoising; adaptive filter; block-adaptation phase; image noise cancellation; weight matrix; weight-training mechanism; weight-training phase; Adaptive algorithm; Adaptive filters; Computational complexity; Convergence; Digital filters; Digital signal processing; Least squares approximation; Noise cancellation; Pixel; System identification;
Conference_Titel :
Information, Decision and Control, 2007. IDC '07
Conference_Location :
Adelaide, Qld.
Print_ISBN :
1-4244-0902-0
Electronic_ISBN :
1-4244-0902-0
DOI :
10.1109/IDC.2007.374572
