动静态联合滤波器在多聚焦图像融合中的应用
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引用本文:朱亚辉.动静态联合滤波器在多聚焦图像融合中的应用[J].计算技术与自动化,2022,(2):113-117
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作者单位
朱亚辉 (陕西学前师范学院 数学与统计学院,陕西 西安 710100) 
中文摘要:动静态联合滤波器具有良好的边缘平滑特性,对梯度反转和全局强度迁移等伪影具有很强的鲁棒性。为了保留源图像的结构信息,提出了基于动静态联合滤波器的多聚焦图像融合方法。首先采用动静态联合滤波器将源图像分解为结构分量和纹理分量,以视觉显著度加权法对结构分量进行融合,综合相位一致性和清晰度信息对纹理分量进行融合;将两分量叠加获得初始融合图像,并通过计算源图像与初始融合图像间的结构相似度作为决策矩阵,获得最终的融合图像。通过对比多组融合图像主、客观评价结果发现,该方法能有效保留边缘信息。
中文关键词:图像融合  多聚焦图像  动静态联合滤波器  结构相似度
 
Multi-focus Image Fusion Method Based on Dynamic and Static Joint Filter
Abstract:The dynamic and static filter has good edge smoothing characteristics and strong robustness to artifacts such as gradient inversion and global intensity migration. In order to preserve the structure information of the source image, a multi-focus image fusion method based on dynamic and static filter is proposed. Firstly, the dynamic and static joint filter is used to decompose the source image into structural components and texture components, the structural components are fused by visual saliency weighting method, and the texture components are fused by combining phase consistency and sharpness. The initial fusion image is obtained by adding the structure component and texture component; finally, the final fusion image is obtained by calculating the structural similarity between the source image and the initial fusion image as the decision matrix. By comparing the subjective and objective evaluation results of several groups of fused images, it is shown that this method can effectively retain the edge information.
keywords:image fusion  multi-focus image  dynamic and static joint filter  structural similarity
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