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小波域高斯混合模型与中值滤波的混合图像去噪研究 被引量:21

Study of Wavelet Domain Gaussian Mixture Model with Median Filtering Mixed Image Denoising
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摘要 基于高斯混合模型的小波去噪方法并结合中值滤波法对脉冲噪音有较好滤除效果的特点,将这两种方法结合起来,对含有高斯脉冲混合噪音图像进行去噪处理.该算法采用Matlab语言进行仿真.实验结果表明,这种混合去噪方法的效果要优于单纯使用中值滤波或者小波去噪的效果. Based on the Gaussian mixture model wavelet denoising method and combining with characteristics that median filtering has better effect on impulse noise denosing, the two methods are applyed to the image denoising which contains Gaussian pulse mixed noise. Matlab is used for algorithm simulation and the experimental results show that this approach to the denoising effect is better than simply using median filter or effect of the wavelet denoising.
出处 《光子学报》 EI CAS CSCD 北大核心 2007年第12期2381-2385,共5页 Acta Photonica Sinica
关键词 图像去噪 高斯混合模型 小波去噪 中值滤波 Matlab算法仿真 Image denoising Gaussian mixture model Wavelet denoising Median filtering Matlab simulation
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