A Synchronization Algorithm of MRI Denoising and Contrast Enhancement Based on PM-CLAHE Model

D. Jia, Fangfang Han, Jinzhu Yang, Yifei Zhang, Dazhe Zhao, Ge Yu
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引用次数: 10

Abstract

On clinical applications, many magnetic resonance (MR) Images obtained directly by the instruments are not satisfied by doctors. For example, there are some noises and poor contrast in the MR images. These shortcomings would affect the efficiency of feature extraction or recognition later. To solve this problem, the paper proposes a synchronization algorithm of denoising and contrast enhancement. By constructing a differential equation of limited adaptive histogram equalization, the edge denoising and enhancement are completed with the improved PM model. The algorithm draws on the advantages of the two original models, and the practicality and accuracy are proved by the results of the experiments.
基于PM-CLAHE模型的MRI去噪与对比度增强同步算法
在临床应用中,许多由仪器直接获得的磁共振图像并不令人满意。例如,MR图像中存在一些噪声和对比度差。这些缺点会影响后期特征提取或识别的效率。为了解决这一问题,本文提出了一种去噪和对比度增强同步算法。通过构造有限自适应直方图均衡化的微分方程,利用改进的PM模型完成边缘去噪和增强。该算法吸取了两种原始模型的优点,实验结果证明了该算法的实用性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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