基于离散小波变换的陷波滤波增强MRI脑图像

Int. J. Image Graph. Pub Date : 2021-04-17 DOI:10.1142/S0219467822500103

M. Ravikumar, B. Shivaprasad, D. Guru

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引用次数: 3

摘要

在这项工作中，我们提出了Notch滤波方法来增强MRI脑图像。与文献中已有的方法相比，本文提出的方法具有更好的性能。使用米其林对比度(MC)，熵，峰值信噪比(PSNR)，结构相似指数测量(SSIM)和绝对平均亮度误差(AMBE)等定量指标来评估性能，作为公开可用的BRATS-2018和2019数据集的参数。总体而言，与其他现有方法相比，所提出的方法性能良好。

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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Enhancement of MRI Brain Images Using Notch Filter Based on Discrete Wavelet Transform

In this work, we have proposed Notch filter method to enhance MRI brain images. The proposed method performs better when compared with the existing methods from the literature. The performance is evaluated using quantitative measures like Michelon Contrast (MC), entropy, Peak Signal-to-Noise Ratio (PSNR), Structure Similarity Index Measurement (SSIM) and Absolute Mean Brightness Error (AMBE), as a parameter on publically available BRATS-2018 & 2019 dataset. Overall, the proposed method performs well in comparison to the other existing methods.

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来源期刊

Int. J. Image Graph.

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