Study on the Image De-noising Algorithm of Adaptive Threshold based on Wavelet Transform in the Unclear Radiation Environment
In order to get a better image in the nuclear radiation environment, this paper presents an adaptive threshold image de-nosing algorithm based on the concept of wavelet multi-resolution. First of all, remove the big isolated points by median filtering in the image; achieve the multi-resolution analysis by lifting wavelet transform; then obtain the threshold value of the wavelet coefficients by the Bayesian Shrink adaptive algorithm; finally recover the image by the inverse lifting wavelet transform. As a result of multi-resolution adaptive threshold method, the non-stationary characteristics of the signal can be described quite well, and remove the noise according to the distribution of the signal and noise at different resolutions. The experimental results show that this method can get a better de-nosing effect in the nuclear radiation environment.
median filtering wavelet de-nosing lifting wavelet transform wavelet threshold
Mao-song Lin Gang Xie
School of Information Engineering, Southwest University of Science and Technology, Mianyang, 621010
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
1956-1960
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）