[1]徐 甜,王军锋.改进的边缘保护滤波分解融合算法[J].计算机技术与发展,2019,29(07):28-32.[doi:10. 3969 / j. issn. 1673-629X. 2019. 07. 006]
 XU Tian,WANG Jun-feng.Improved Filtering Decomposition Fusion Algorithm for Edge Protection[J].,2019,29(07):28-32.[doi:10. 3969 / j. issn. 1673-629X. 2019. 07. 006]
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改进的边缘保护滤波分解融合算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年07期
页码:
28-32
栏目:
智能、算法、系统工程
出版日期:
2019-07-10

文章信息/Info

Title:
Improved Filtering Decomposition Fusion Algorithm for Edge Protection
文章编号:
1673-629X(2019)07-0028-05
作者:
徐 甜王军锋
西安理工大学 理学院,陕西 西安 710054
Author(s):
XU TianWANG Jun-feng
School of Science,Xi’an University of Technology,Xi’an 710054,China)
关键词:
边缘保护自适应图像融合偏微分方程
Keywords:
edge protectionadaptionimage fusionpartial differential equation
分类号:
TP301.6
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 07. 006
摘要:
经过一些传统的融合方法得到的融合图像不能很好地保护边缘,使得源图像的一些重要信息丢失。 而经过边缘保护滤波器分解后的图像能够保持源图像的空间一致性且减少边缘附近的光晕工件,偏微分方程进行离散之后会转化为一种非线性局部迭代滤波器,这种滤波器具有较好的边缘保护特性。 文中引入新的扩散系数,提出了一种基于偏微分方程的二阶和四阶结合的自适应边缘保护滤波器,由于 LDA 变换集成方法可以减少判别信息的丢失,提出了一种自适应滤波器与 LDA 变换相结合的图像融合算法。 通过“自适应边缘保护滤波器冶将源图像分解为细节层和近似层,通过各自融合规则之后得到融合图像。 实验结果表明,该算法很好地保留了源图像的基本特征,视觉效果也比较好。
Abstract:
The fusion image obtained by some traditional fusion methods cannot protect the edge well,which makes some important information of the source image lost. The image decomposed by the edge protection filter can keep the spatial consistency of the source image and reduce the halo artifacts near the edge,and the partial differential equation will be transformed into a nonlinear local iterative filter after the discrete equation is discrete. With the introduction of the new diffusion coefficient,an adaptive edge protection filter in combination of two order and four order based on PDE is proposed. Because the LDA transform integration method can reduce the loss of discriminant information,an image fusion algorithm combining adaptive filter and LDA transform is proposed. In this paper,the source image is decomposed into detail layer and approximation layer by “adaptive edge protection filter”. The fused image is obtained by fusing rules of each layer. Experiment shows that the proposed algorithm retains the basic features of the source image with great visual effect.

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更新日期/Last Update: 2019-07-10