Wavelet Threshold Denoising of Infrared Image Based on Bidimensional Empirical Mode Decomposition

摘要：

　　A method of infrared image denoising was proposed.Bidimensional Empirical Mode Decomposition (BEMD) was used to decompose an infrared image into Intrinsic Mode Function (IMF) field.It means that the image was decomposed into a series of Intrinsic Mode Functions and a residue.Then the high frequency IMFs were denoised via wavelet transform,since high frequency components contain much of the noise.The denoised IMFs,together with low frequency IMFs and the residue,were used to reconstruct the image.Experiment results show that compared with the traditional wavelet threshold denoising and BEMD low-pass filtering,the algorithm has better effects on the denoising of infrared image mixed with Gaussian noise and salt & pepper noise.

关键词： wavelet threshold denoising, bidimensional empirical mode decomposition intrinsic mode function infrared image

作者: Ying Tong Mei-Rong Zhao Su-Mei Cui

作者单位: Sate Key Laboratory of Precision Measuring Technology & Instruments, Tianjin University, Tianjin, Ch Sate Key Laboratory of Precision Measuring Technology & Instruments, Tianjin University, Tianjin, Ch

会议类型: 国际会议

会议名称: 第16届机电一体化技术国际会议

会议地点: 天津

会议语种:英文

页码: 111-115

在线出版日期: 2012-10-16（万方平台首次上网日期，不代表论文的发表时间）