Research of High-speed Railway Image Noise Removal Based on Fast Recursive GCV Threshold Function
This paper introduces the wavelet threshold denoising process and the principles of traditional GCV threshold to solve the problems about the distortion and noise removal of the images collected in the high-speed train to monitor real-time for preventing foreign body from the track. It puts forward an image de-noising method on fast recursive GCV threshold function after introduced integer wavelet transform and the thought of merging recursive operations in this paper. The de-noising effects was analyzed and compared between tradition threshold and FR-GCV threshold function by simulation and experiments, it turns out that FR-GCV threshold function can not only retain the characteristic of obvious de-noising effects, but also avoid fairly well to use the complex algorithm. It has a certain guiding significance in practice.
Wavelet decomposition and restructuring Integral wavelet transform GCV threshold function
Hongfeng Ma Jianwu Dang Xin Liu
College of Electronics and Information Engineering Lanzhou Jiaotong University Lanzhou, 730070,China College of Electronics and Information Engineering Lanzhou Jiaotong University Lanzhou, 730070,China Department of Electronic and Information Engineering Lanzhou Polytechnic College Lanzhou, 730050,Chi
国际会议
成都
英文
286-289
2010-06-12（万方平台首次上网日期，不代表论文的发表时间）