DWT、NSCT和改进PCA协同组合红外偏振图像融合

发布时间：2018-01-14 22:25

本文关键词：DWT、NSCT和改进PCA协同组合红外偏振图像融合　出处：《红外技术》2017年03期 　论文类型：期刊论文

【摘要】：为充分保留红外光强和偏振图像细节、强度等信息,综合多算法的优势性能,提出一种DWT、NSCT和改进PCA的多算法协同组合融合新方法,在考虑3种算法互补协同关系基础上,充分保留源图重要目标和细节信息。首先,用离散小波变换(DWT)将源图分解为高低频分量,低频用非下采样轮廓波变换(NSCT)再次分解;其次,对主成分分析法(PCA)进行权值改进,分块融合NSCT分解所得低频分量;然后,提出"相关系数-局部能量-局部标准差"规则融合NSCT分解所得高频,用"层内对比度"规则融合DWT分解所得高频;最后,NSCT逆变换重构所得图像作为DWT低频融合图,再用DWT逆变换获得最终融合图像。实验结果表明,所提方法在视觉效果、细节层次及保留等方面比单一或简单组合方法更具优势,对不同场景适应性较强。
[Abstract]:In order to fully preserve the details and intensity of infrared and polarized images, a new method of combining DWT-NSCT and improved PCA is proposed to integrate the advantages of multi-algorithms. On the basis of considering the complementary cooperative relationship among the three algorithms, the important target and detail information of the source map is fully preserved. Firstly, the source image is decomposed into high and low frequency components by discrete wavelet transform (DWT). The low frequency is decomposed again by the non-downsampling profilometry transform (NSCT). Secondly, the weight of principal component analysis (PCA) is improved, and the low frequency components are fused into blocks by NSCT decomposition. Then, the correlation coefficient, local energy and local standard deviation are proposed to fuse the high frequency of NSCT decomposition, and the high frequency of DWT decomposition is fused with the rule of "intra-layer contrast". Finally, the reconstructed image is used as DWT low frequency fusion image, and the final fusion image is obtained by DWT inverse transform. The experimental results show that the proposed method is effective in vision. The level of detail and retention have more advantages than single or simple combination methods, and have better adaptability to different scenarios.
【作者单位】：中北大学动态测试技术重点实验室;
【基金】：中北大学动态测试技术重点实验室开放基金目(ZDSYSJ2015005) 教育部高等学校博士学科点专项科研资助(博导类)(20121420110004)
【分类号】：TP391.41;TN219
【正文快照】： 红外热成像技术利用目标红外辐射特性进行热成像,所得红外光强图像具有显著的亮度特征和区域特征用糙体富但具图形波切融夫这果利较金得等A但佳割界域G在马法等通优合PC细而方削种充(D合,但纹理和光谱、空间度等有用信和温差小的,极大地增但其亮度特征具有很强的互图像,能有效

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