The Research of Infrared Image Denoising Based on Non-local Regularization Method

摘要：

Infrared image denoising is the basis of infrared application system.The existing denoising methods only consider independent pixel in infrared image,without considering the relationship among pixels.Using infrared image structure similarity,non-local regularization method is used for infrared image denoising.Under different noise level,the experimental results show that the non-local regularization method has better denoising effect than the total variation regularization model,wavelet transform and the bilateral filter method in infrared image application process.

关键词： Infrared image Denoising algorithm Non local regularization method Research

作者: SUN Shi-bao SUN Pei shuo

作者单位: Electronic Information Engineering College, Henan University of Science and Technology,Luoyang 47100 Electronic Information Engineering College, Henan University of Science and Technology,Luoyang 47100

会议类型: 国内会议

会议名称: 第十二届中国Rough集与软计算学术会议、第六届中国Web智能学术研讨会及第六届中国粒计算学术研讨会联合学术会议

会议地点: 合肥

会议语种:英文

页码: 86-86

在线出版日期: 2012-10-13（万方平台首次上网日期，不代表论文的发表时间）