| 图像噪声滤波的研究方法及进展 |
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| 引用本文： | 宋寅卯,李晓娟,刘磊.图像噪声滤波的研究方法及进展[J].电脑开发与应用,2010,23(4):74-76. |
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| 作者姓名： | 宋寅卯 李晓娟 刘磊 |
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| 作者单位： | 郑州轻工业学院电气信息工程学院,郑州,450002 |
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| 摘 要： | 图像噪声滤波作为图像处理的前端,直接影响后续图像处理的各个环节。介绍的图像噪声滤波的方法主要有空间域去噪、变换域去噪及几种新兴的图像噪声滤波方法,在分析了各种算法优点和缺点的基础上,对图像降噪的最新研究方向进行了展望。
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| 关 键 词： | 图像滤波 中值滤波 小波变换 脉冲耦合神经网络 |
Recent Studies Methods and Progress on Image Noise Filtering |
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| Abstract: | As the front-end image processing,Image noise filtering has a direct impact on all aspects of the follow-up image processing.This article describes the image noise filtering methods are mainly spatial domain denoising,transform domain denoising and several emerging image noise filtering method,Based on the analysis of the advantages and disadvantages of these algorithms,put forward to the latest research direction of image noise reduction. |
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| Keywords: | image filtering median filter the wavelet transform pulsecoupled neural networks |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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