Combined bilateral and anisotropic-diffusion filters for medical image de-noising

Arif Sameh Arif, Sarina Mansor, R. Logeswaran
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引用次数: 14

Abstract

Image de-noising is a core operation in image processing and computer vision. In this paper, combination of two popular methods in image de-noising bilateral and anisotropic-diffusion filtering is investigated to reduce the noise in medical images, while preserving the clarity of images. The proposed method experimented on 23 MRI images. The results obtained from the proposed method gained higher peak signal to noise ratio (PSNR) and compression ratio (CR) performance in comparison with the traditional methods by more than 8%.
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结合双边和各向异性扩散滤波器的医学图像去噪
图像去噪是图像处理和计算机视觉中的核心操作。本文研究了结合双边滤波和各向异性扩散滤波两种常用的图像去噪方法来降低医学图像中的噪声,同时保持图像的清晰度。该方法在23张MRI图像上进行了实验。与传统方法相比,该方法的峰值信噪比(PSNR)和压缩比(CR)性能提高了8%以上。
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