一种应用空间滤波和小波去噪医学图像的新方法

2016 IEEE Region 10 Conference (TENCON) Pub Date : 2016-11-01 DOI:10.1109/TENCON.2016.7848157

A. Pawlovsky, Makoto Hozaki

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引用次数: 1

摘要

本文提出了一种结合空间滤波和离散小波变换来降低x射线医学图像噪声的新方法。我们的方法结合了高斯滤波器和Meyer小波变换。实验发现，与其他已知方法相比，它有助于将图像的PSNR从0.5 dB提高到近1.0 dB。

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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A new way of applying spatial filters and wavelets to reduce noise in medical images

This paper shows a new way of applying both a spatial filter and the discrete wavelet transform to reduce the noise in X-ray medical images. Our method combines a Gaussian filter and a Meyer wavelet transform. We experimentally found that it helps to improve the PSNR of an image from 0.5 dB to almost 1.0 dB when compared to other known methods.

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来源期刊

2016 IEEE Region 10 Conference (TENCON)

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