计算机科学 ›› 2018, Vol. 45 ›› Issue (2): 301-305.doi: 10.11896/j.issn.1002-137X.2018.02.052

• 图形图像及模式识别 • 上一篇    下一篇

基于冗余小波变换与引导滤波的多聚焦图像融合

杨艳春,李娇,党建武,王阳萍   

  1. 兰州交通大学电子与信息工程学院 兰州730070,兰州交通大学电子与信息工程学院 兰州730070,兰州交通大学电子与信息工程学院 兰州730070,兰州交通大学电子与信息工程学院 兰州730070
  • 出版日期:2018-02-15 发布日期:2018-11-13
  • 基金资助:
    本文受长江学者和创新团队发展计划资助

Multi-focus Image Fusion Based on Redundant Wavelet Transform and Guided Filtering

YANG Yan-chun, LI Jiao, DANG Jian-wu and WANG Yang-ping   

  • Online:2018-02-15 Published:2018-11-13

摘要: 针对传统多尺度变换在多聚焦图像融合中存在的边缘晕圈问题,提出了一种基于冗余小波变换与引导滤波的多聚焦图像融合算法。首先,利用冗余小波变换对图像进行多尺度分解,将源图像分解为一个相似平面和一系列小波平面,该多尺度分解能够有效地提取源图像中的细节信息;然后,对相似平面和小波平面分别采用引导滤波的加权融合规则来构造加权映射,从而得到相似平面和小波平面的加权融合系数;最后,进行冗余小波逆变换,即可得到融合结果图。实验结果表明,与传统融合算法相比,所提算法能够更好地体现图像边缘的细节特征,取得了较好的融合效果。

关键词: 多聚焦图像融合,冗余小波变换,引导滤波,空间一致性

Abstract: For the problem of edge halo in multi-focus image fusion based on traditional multi-scale transform,this paper proposed a novel method of image fusion based on redundant wavelet transform and guided filtering.Firstly,the source images are decomposed by the redundant wavelet transform,and a similar plane and a series of wavelet planes are obtained.The multi-scale decomposition can effectively extract the detail information in the source images.Then the weighted fusion rules of guided filtering are respectively used in the similar plane and the wavelet planes,and the weighted maps are constructed to obtain the weighted fusion coefficients of the similar plane and the wavelet planes.Finally,the redundant wavelet inverse transform is used to obtain the fusion image.The experiment results show that the proposed method can better reflect edge detail features of the images and can achieve better fusion results compared with the traditional fusion methods.

Key words: Multi-focus image fusion,Redundant wavelet transform,Guided filter,Spatial consistency

[1] DAS S,ZHANG Y.Color Night Vision for Navigation and Surveillance [J].Transportation Research Record Journal of the Transportation Research Board,2000,1708(1):40-46.
[2] GOSHTASBY A A,NIKOLOV S.Image fusion:Advances in the state of the art [J].Information Fusion,2007,8(2):114-118.
[3] YANG B,LI S.Pixel-level Image Fusion with Simultaneous Orthogonal Matching Pursuit [J].Information Fusion,2012,13(1):10-19.
[4] TOET A,HOGERVORST M A,NIKOLOV S G,et al.Towards Cognitive Image Fusion [J].Information Fusion,2010,11(2):95-113.
[5] MIAO Q G,WANG B S.Multi-focus image fusion based on se-cond imaging and difference of clarity [J].Computer Science,2005,32(7):165-167.(in Chinese) 苗启广,王宝树.基于二次成像与清晰度差异的多聚焦图像融合[J].计算机科学,2005,32(7):165-167.
[6] LIU Y,WANG Z F.Simultaneous Image Fusion and Denoising with Adaptive Sparse Representation [J].Institution of Engineering and Technology Image Processing,2015,9(5):347-357.
[7] CAO C H,ZHANG J H,LI L F.Multi-focus image fusion based on twin-generation differential evolution and adaptive block mechanism [J].Computer Science,2016,43(7):67-72,110.(in Chinese) 曹春红,张建华,李林峰.基于双子代差分演化和自适应分块机制的多聚焦图像融合算法[J].计算机科学,2016,43(7):67-72,110.
[8] 那彦,焦李成.基于多分辨分析理论的图像融合方法 [M].西安:西安电子科技大学出版社,2007:83-84.
[9] TU T M,SU S C,SHYU H C,et al.A New Look at IHS-like Image Fusion Methods [J].Information Fusion,2001,2(3):177-186.
[10] JIA Y H.Fusion of Landsat TM and SAR Images Based onPrincipal Component Analysis [J].Remote Sensing Technology and Application,1998,13(1):46-49.
[11] LU G X,ZHOU D W,WANG J L,et al.Geological Information Extracting from Remote Sensing Image in Complex Area:Based on Wavelet Analysis for Automatic Image Segmentation [J].Earth Science-journal of China University of Geosciences,2002,27(1):50-54.
[12] BIJAOUI A,STARCK J L,MURTAGH F.Restauration DesImages Multi-échelles Par l’algorithme  trous [J].Traitement Du Signal,1994,11(3):229-243.
[13] HE K,SUN J,TANG X.Guided Image Filtering [J].IEEETransactions on Pattern Analysis and Machine Intelligence,2013,35(6):1397-1409.
[14] CHIBANI Y.Multisource Image Fusion by Using the Redun-dant Wavelet Decomposition [C]∥Proceedings on IEEE International Geoscience and Remote Sensing Symposium.2003:1383-1385.
[15] NUNEZ J,OTAZU X,FORS O,et al.Multiresolution-based Ima-ge Fusion with Additive Wavelet Decomposition [J].IEEE Transactions on Geoscience and Remote Sencing,1999,37(3):1204-1211.
[16] DONG J P,HE J Z.Gray multi-focus image fusion based on redundant wavelet transform [J].Electronics Science & Techno-logy,2015,28(12):100-103.(in Chinese) 董佳鹏,何建忠.基于冗余小波变换的灰度多聚焦图像融合方法[J].电子科技,2015,28(12):100-103.
[17] LI S T,KANG X D,HU J W.Image Fusion with Guided Filtering [J].IEEE Transactions on Image Processing,2013,22(7):2864-2875.
[18] YANG H,WU X T,HE B G,et al.Image fusion based on multi-scale guided filters [J].Journal of Optoelectronics·Laser,2015,26(1):170-176.(in Chinese) 杨航,吴笑天,贺柏根,等.基于多尺度导引滤波的图像融合方法[J].光电子·激光,2015,6(1):170-176.
[19] XYDEAS C S,PETROVIC V.Objective Image Fusion Perfor-mance Measure [J].Electronics Letters,2000,36(4):308-309.
[20] CHU H,ZHU W L.Image fusion algorithms using discrete cosine transform [J].Optics and Precision Engineering,2006,14(2):266-273.(in Chinese) 楚恒,朱维乐.基于DCT变换的图像融合方法研究[J].光学精密工程,2006,14(2):266-273.
[21] LI S T,YANG B,HU J W.Performance Comparison of Diffe-rent Multi-resolution Transforms for Image Fusion [J].Information Fusion,2011,12(2):74-84.

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