《计算机应用研究》|Application Research of Computers

基于梯度特征的双核非局部均值去噪算法

Dual kernel non-local means denoising algorithm based on gradient feature

免费全文下载 (已被下载 次)  
获取PDF全文
作者 张玉征,杨词慧,林泉
机构 1.南昌航空大学 信息工程学院,南昌 330063;2.江西省图像处理与模式识别重点实验室,南昌 330063
统计 摘要被查看 次,已被下载
文章编号 1001-3695(2019)05-061-1573-04
DOI 10.19734/j.issn.1001-3695.2017.12.0830
摘要 针对传统非局部均值(NLM)滤波算法中邻域间相似性计算易受噪声干扰的问题,提出了一种基于梯度特征的双核非局部均值滤波算法。通过图像块之间的欧氏距离及梯度特征度量邻域间相似性,采用双核函数代替传统指数核函数计算相似性权值,并通过衡量搜索区域中的邻域块与当前像素邻域的相似程度,对像素点的权值进行重分配,在此基础上重估像素点去噪值并得到滤波图像。实验结果表明,提出的滤波算法与传统的NLM滤波算法及分别含有高斯核和正弦核的改进NLM滤波算法相比,可以更准确地反映邻域间的相似度,保存图像的细节及边缘信息,从而有效提升图像的去噪效果。
关键词 非局部均值; 高斯函数; 正弦函数; 梯度特征
基金项目 国家青年自然科学基金资助项目(61402218)
江西省图像处理与模式识别重点实验室开放基金资助项目(TX201304002)
南昌航空大学研究生创新基金资助项目(YC2016043)
本文URL http://www.arocmag.com/article/01-2019-05-061.html
英文标题 Dual kernel non-local means denoising algorithm based on gradient feature
作者英文名 Zhang Yuzheng, Yang Cihui, Lin Quan
机构英文名 1.School of Information Engineering,Nanchang Hangkong University,Nanchang 330063,China;2.Key Laboratory of Jiangxi Province for Image Processing & Pattern Recognition,Nanchang 330063,China
英文摘要 In the traditional non-local mean(NLM) filtering algorithm, the presence of noise in the image interferes the accuracy of similarity calculation between neighborhood blocks. To address this problem, this paper proposed a dual kernel non-local means denoising algorithm based on gradient feature. This algorithm calculated the similarity of neighborhood block by Euclidean distance and gradient feature between pixels, and replaced the original exponential function with dual kernel function to calculate similar weights. In addition, it measured the similarity between the neighborhood blocks of the pixels in the search area and the current neighborhood to reassign the pixels' weight. On this basis, it reevaluated the denoising values and got the denoised image. Experimental results show that this algorithm can accurately reflect the similarity between neighborhood block of pixels and preserve the details and edge information of images effectively while compared with the traditional NLM filtering algorithm and two other improved NLM algorithms, and improves the effect of image denoising significantly.
英文关键词 non-local means; Gaussian function; wave function; gradient feature
参考文献 查看稿件参考文献
 
收稿日期 2017/12/4
修回日期 2018/1/31
页码 1573-1576
中图分类号 TP391.41
文献标志码 A