An Improved Threshold De-Noising Algorithm Based on Inter-Scale Dependency of wavelet
An efficient method based on SSNF algorithm and threshold de-noising to remove the noise in the image is proposed. To the disadvantages of the unified threshold de-noising method, which causes the image fuzzy distortion because of over-killed, by using inter-scale dependency of wavelets coefficients, some edge information that overkilled by the unified threshold are extracted and reserved, Thereby, more image details are reserved. The experiment results show that the algorithm can effectively weaken the unified thresholds tendency of over-killed, and reduce the image fuzzy distortion.
wavelet transform coefficient soft threshold function image de-noising
YU Wei-bo WANG Yan PANG Bai-mei XU Zhi-jun
School of Electrical& Electronic& Engineering Chang Chun 130012, China College of Agriculture, Ji Lin University, Chang Chun 130062, China
国际会议
长春
英文
231-233
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）