River Sediment Image Denoising Algorithm for Hydrological Monitoring Device

摘要：

According to the characteristic of river sediment image, the two-dimensional image data is transformed into one-dimensional array data from horizontal, vertical, + diagonal line, by using different threshold value on the different wavelet decomposition high frequency coefficient The enhancement of processed coefficient. de-noise image is obtained after inversing wavelet transform and calculating on four two-dimensional pictures by unequal coefficient. The results indicate the proposed algorithm is effective both in reserving the edge and in removing noise compared with Keesook.J. Han algorithm and improving soft-thresholding de-noised algorithm.

关键词： wavelet transform River Sediment image de-noised edge detail maintenance

作者: Peng Xuange Huang ChunyingLi Li Peipei

作者单位: Jinggangshan University,Jian,Jiangxi 343009 China;East China Jiao Tong University,Nanchang,Jiangxi Jinggangshan University,Jian,Jiangxi 343009 China East China Jiao Tong University,Nanchang,Jiangxi 330013 China

会议类型: 国际会议

会议名称: The Second International Symposium on Test Automation & Instrumentation(ISTAI2008)(第二届国际自动化测试与仪器仪表学术会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）