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基于Deslauriers-Dubuc(4,2)小波的提升方案图像去噪方法
Method of image de-noising using Deslauriers-Dubuc(4,2) wavelet transform based on lifting
【摘要】 提升小波具有结构简单、运算量低、原位运算、节省缓存空间,逆变换通过结构翻转得到等诸多易于实现的特点。将基于Deslauriers-Dubuc(4,2)小波的提升方案应用于图像的去躁处理中,能快速有效去除信号中的高斯白噪声等。将提升方案与中值滤波相结合,可同时滤除图像中的高斯白噪声和脉冲噪声等。
【Abstract】 Wavelet based on lifting has many features easily achieved,for example, simple structure,light calculation task,in-place operation,little temporary memory space,easily reverse transform.This paper(introduces) Deslauriers-Dubuc(4,2) wavelet transform based on lifting scheme,and gets a good result in(image) de-noising to wipe the Gaussian white noise off by using this algorithm.Then it discusses median filter with Deslauriers-Dubuc(4,2) wavelet transform based on lifting,at the same time to filter out the Gaussian white noise and impulse noise.
【关键词】 小波变换;
提升方案;
图像消噪;
中值滤波;
【Key words】 wavelet transform; lifting scheme; image de-noising; median filter;
【Key words】 wavelet transform; lifting scheme; image de-noising; median filter;
- 【文献出处】 信息技术 ,Information Technology , 编辑部邮箱 ,2006年05期
- 【分类号】TN911.73
- 【下载频次】138