基于小波自适应阈值的脑CT图像去噪研究
Jan 1, 2021·,,,·
1 min read
张爱桃
程思齐
周旭
李连捷
Image credit: UnsplashAbstract
利用自适应小波阈值算法抑制脑部CT图像噪声,以提高图像质量.通过仿真实验,确定自适应滤波阈值与噪声强度的关系,然后采用真实脑部CT图像及自然图像进行验证,并与常用小波阈值算法比较.提出的算法能够抑制图像的加性白噪声,使峰值信噪比提高7～10 dB,同时更好地保留了图像细节及边缘信息.小波自适应阈值算法能够对不同噪声水平的脑CT图像及自然图像进行自适应处理,提高峰值信噪比,改善图像质量.
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Publication
河北师范大学学报(自然科学版), 45(1)
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