| 柏涛涛,王茜娟,谭云兰.基于非下采样Contourlet变换耦合近似度规则的多聚焦图像融合算法[J].井冈山大学自然版,2019,40(1):39-44 |
| 基于非下采样Contourlet变换耦合近似度规则的多聚焦图像融合算法 |
| MULTI FOCUS IMAGE FUSION ALGORITHM BASED ON NONSUBSAMPLED CONTOURLET TRANSFORM COUPLING APPROXIMATION RULE |
| 投稿时间：2018-11-07 修订日期：2018-12-19 |
| DOI：10.3969/j.issn.1674-8085.2019.01.009 |
| 中文关键词: 图像融合 非下采样contourlet变换 区域能量 平均梯度 近似度规则 |
| 英文关键词: image fusion nonsubsampled contourlet transform region energy average gradient approximation rule |
| 基金项目:江西省教育厅科学技术研究项目（GJJ160750） |
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| 中文摘要: |
| 当前多聚焦图像融合算法主要通过单一的比值取大法来完成高频系数的融合，忽略了不同高频系数间的近似度，导致融合图像存在模糊效应与块效应等不足，采用非下采样Contourlet变换耦合近似度规则对多聚焦图像进行融合，来改善以上不足。利用非下采样Contourlet变换对图像进行多尺度、多方向的分解，获取图像的高、低频分解系数。利用图像的区域能量对低频系数的信息量进行度量，构造低频系数融合函数，用于低频系数融合。利用图像的平均梯度差值对不同高频系数的差异度进行度量，建立近似度规则，根据不同高频系数的近似度采用不同的融合方法获取融合高频系数。将融合后系数通过非下采样Contourlet逆变换获取最后融合图像。仿真表明，所提算法与当前多聚焦图像融合方法相比，融合的图像具有较好的质量。 |
| 英文摘要: |
| Currently, most of the focus image fusion algorithms mainly use a single ratio to maximize the fusion of high-frequency coefficients, which ignores the approximation among different high-frequency coefficients, resulting in fuzziness and blocking effects in the fusion image. In this paper, a multi-focus image fusion algorithm based on the coupling approximation rule of non-downward contourlet transform is proposed. The non-downsampling contourlet transform is used to decompose the image in multi-scale and multi-direction to obtain the high and low frequency decomposition coefficients. The information of low-frequency coefficients is measured by the region energy of the image, and the fusion function of low-frequency coefficients is constructed for the fusion of low-frequency coefficients. The difference of different high frequency coefficients is measured by the mean gradient difference of the image, and the approximation rule is established. Different fusion methods are used according to the approximation of different high frequency coefficients to complete the fusion of high frequency coefficients. The fusion coefficients are acquired by the non - down sampling inverse transform to get the final fused image. Experimental results show that the proposed method has better image quality than the current multi-focus image fusion method. |
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