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基于小波变换的医学图像去噪声处理 被引量:14

Medical Image Denoising Method Based on Wavelet Transformation
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摘要 利用中值滤波和基于小波变换的去噪声处理对同时含有高斯噪声和脉冲噪声的X线图像降噪方法进行探讨。采用PSNR评价标准分析实验结果,表明小波变换结合中值滤波方法在去除噪声的同时较好地保持了原图像所包含的边缘信息,处理效果优于单纯的小波变换或单纯的中值滤波。 This paper evaluated median filter in company with wavelet transformation to process X-ray image that contained Gauss noise and impulse noise at the same time. Analyzed experimental result via PSNR standard, it showed that the method can better keep the edge information of the original image and wipe off noises synchronously. Its result was better, compared with applied median filter or wavelet transformation only.
作者 汤乐民 李敏
出处 《中国医学物理学杂志》 CSCD 2004年第4期202-204,共3页 Chinese Journal of Medical Physics
关键词 医学图像 噪声 中值滤波 小波变换 图像质量评价 medical image noises median filter wavelet transformation quality assessment of images
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