基于Bandelets变换的红外图像去噪

提出了一种基于Bandelets变换的红外图像模糊阈值去噪方法,该方法结合了Bandelets变换和模糊阈值在去噪方面的优点.对红外图像进行Bandelets变换的同时,对系数进行模糊阈值处理,实现了图像去噪;同时针对图像去噪问题提出了Bandelets变换中压缩率阈值的选取方法.结果表明,与正交小波硬阈值去噪方法相比,该方法具有良好的去噪性能,并且在去除红外图像噪音的同时,能够获得很好的边缘保持效果.

Infrarde Image Denoising by Fuzzy Threshold Based on Bandelets Transform

A kind of infrared image denoising approach by fuzzy threshold based on Bandelets transform was given.The approach has the good quality of both Bandelets transform and fuzzy threshold on denoising.As making Bandelets transform to an infrared image,the noisy image denoising can be done by applying a fuzzy threshold to the Bandelets coefficients.With Bandelets transform,a method of compression rate threshold selecting was given against denoising.Comparing with hard thresholding based on orthogonal wavelet,the simulation results show that the image denoising effect of this approach is better.Furthermore,the given approach can reduce the noise of infrared image and preserve the edges of image well.