计算机科学 ›› 2021, Vol. 48 ›› Issue (6A): 21-27.doi: 10.11896/jsjkx.200800183
黄雪冰, 魏佳艺, 沈文宇, 凌力
HUANG Xue-bing, WEI Jia-yi, SHEN Wen-yu, LING Li
摘要: 磁共振(Magnetic Resonance,MR)图像通常存在椒盐噪声(Salt and Pepper Noise,SPN)以及对比度低的问题,为了增强MR图像,分别在空域和频域针对不同侧重点分步进行滤波。对于多数滤波算法去除高水平SPN不理想的情况,提出了自适应加权重复值滤波算法(Adaptive Weighted Duplicate Filter,AWDF),通过连续放大窗口直到两个连续窗口的最大值和最小值分别相等来确定自适应窗口大小,用窗口内最大重复无噪像素的均值替代噪声像素。将其应用于不同噪声水平下的MR图像的预处理中,再在频域应用同态滤波。仿真结果表明,用自适应加权重复值滤波器和优化的高斯同态滤波器相结合的办法处理MR图像,能够在去除高水平SPN的同时提高图像对比度,增加图像细节,对图像的PSNR和SSIM等都有较大提高,图像增强效果显著。
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