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分数阶B样条小波域的图像变分去噪 被引量:3

Total variation image denoising based on fractional B-spline wavelet
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摘要 分数阶B样条具有分数阶逼近,可以更好地刻画图像纹理部分。将分数阶B样条小波推广到二维领域,利用分数阶B样条小波进行图像阈值去噪,提出了分数阶B样条小波域图像去噪的变分模型。同传统小波函数与全变差结合模型比较,分数阶B样条小波在保持纹理和去噪方面得到了明显改进。 Fractional B spline has a fractional order approximation of α+1,so can present image texture better.Extending the fractional B spline to two-dimension,and applying wavelet threshold to image denoising,a denoising method based on fractional B spline and total variation is proposed.Experimental results show that new denoising methods perform better both in denoising and preserving texture,compared with the traditional dependence of coefficients denoising algorithm.
出处 《计算机工程与应用》 CSCD 北大核心 2009年第11期19-21,36,共4页 Computer Engineering and Applications
基金 国家自然科学基金No.60672074 国家高技术研究发展计划(863)No.2007AA12E142 江苏省自然科学基金No.BK2006569 南京理工大学校科研发展基金No.AB96237~~
关键词 分数阶B样条 图像去噪 全变差 fractional B-spline image denoising total variation
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