{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T23:24:02Z","timestamp":1778196242843,"version":"3.51.4"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T00:00:00Z","timestamp":1647561600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T00:00:00Z","timestamp":1647561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s00371-021-02396-9","type":"journal-article","created":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T13:03:19Z","timestamp":1647608599000},"page":"1181-1191","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Image fusion using dual tree discrete wavelet transform and weights optimization"],"prefix":"10.1007","volume":"39","author":[{"given":"Javad Abbasi","family":"Aghamaleki","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9485-811X","authenticated-orcid":false,"given":"Alireza","family":"Ghorbani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,18]]},"reference":[{"key":"2396_CR1","doi-asserted-by":"publisher","first-page":"6480","DOI":"10.1364\/AO.55.006480","volume":"55","author":"Z Zhou","year":"2016","unstructured":"Zhou, Z., Dong, M., Xie, X., Gao, Z.: Fusion of infrared and visible images for night-vision context enhancement. Appl. Opt. 55, 6480\u20136490 (2016)","journal-title":"Appl. Opt."},{"key":"2396_CR2","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.ins.2017.07.010","volume":"417","author":"J Ma","year":"2017","unstructured":"Ma, J., Jiang, J., Liu, C., Li, Y.: Feature guided Gaussian mixture model with semi-supervised EM and local geometric constraint for retinal image registration. Inf. Sci. 417, 128\u2013142 (2017)","journal-title":"Inf. Sci."},{"key":"2396_CR3","doi-asserted-by":"publisher","first-page":"1267","DOI":"10.1364\/JOSAA.33.001267","volume":"33","author":"C Liu","year":"2016","unstructured":"Liu, C., Ma, J., Ma, Y., Huang, J.: Retinal image registration via feature-guided Gaussian mixture model. JOSA A 33, 1267\u20131276 (2016)","journal-title":"JOSA A"},{"key":"2396_CR4","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.neucom.2015.01.025","volume":"157","author":"G Bhatnagar","year":"2015","unstructured":"Bhatnagar, G., Wu, Q.J., Liu, Z.: A new contrast based multimodal medical image fusion framework. Neurocomputing 157, 143\u2013152 (2015)","journal-title":"Neurocomputing"},{"key":"2396_CR5","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1006\/gmip.1995.1022","volume":"57","author":"H Li","year":"1995","unstructured":"Li, H., Manjunath, B., Mitra, S.K.: Multisensor image fusion using the wavelet transform. Graph. Models Image Process. 57, 235\u2013245 (1995)","journal-title":"Graph. Models Image Process."},{"key":"2396_CR6","doi-asserted-by":"publisher","first-page":"904","DOI":"10.3390\/rs9090904","volume":"9","author":"Z Wei","year":"2017","unstructured":"Wei, Z., Han, Y., Li, M., Yang, K., Yang, Y., Luo, Y., et al.: A small UAV based multi-temporal image registration for dynamic agricultural terrace monitoring. Remote Sens. 9, 904 (2017)","journal-title":"Remote Sens."},{"key":"2396_CR7","doi-asserted-by":"publisher","first-page":"581","DOI":"10.3390\/rs9060581","volume":"9","author":"K Yang","year":"2017","unstructured":"Yang, K., Pan, A., Yang, Y., Zhang, S., Ong, S.H., Tang, H.: Remote sensing image registration using multiple image features. Remote Sens. 9, 581 (2017)","journal-title":"Remote Sens."},{"key":"2396_CR8","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1016\/j.neucom.2015.01.050","volume":"159","author":"L Dong","year":"2015","unstructured":"Dong, L., Yang, Q., Wu, H., Xiao, H., Xu, M.: High quality multi-spectral and panchromatic image fusion technologies based on Curvelet transform. Neurocomputing 159, 268\u2013274 (2015)","journal-title":"Neurocomputing"},{"key":"2396_CR9","doi-asserted-by":"crossref","unstructured":"Chen, C., Li, Y., Liu, W., Huang, J.: Image fusion with local spectral consistency and dynamic gradient sparsity. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2760\u20132765. (2014)","DOI":"10.1109\/CVPR.2014.347"},{"key":"2396_CR10","doi-asserted-by":"crossref","unstructured":"Zhou, C., Zhao, J., Pan, Z., Hong, Q., Huang, L.: Fusion of visible and infrared images based on IHS transformation and regional variance matching degree. In IOP Conference Series: Earth and Environmental Science, p. 012021. (2019)","DOI":"10.1088\/1755-1315\/234\/1\/012021"},{"key":"2396_CR11","doi-asserted-by":"publisher","first-page":"2545","DOI":"10.1109\/TIP.2017.2675341","volume":"26","author":"Y Gao","year":"2017","unstructured":"Gao, Y., Ma, J., Yuille, A.L.: Semi-supervised sparse representation based classification for face recognition with insufficient labeled samples. IEEE Trans. Image Process. 26, 2545\u20132560 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"2396_CR12","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1007\/s11263-006-6655-0","volume":"71","author":"SG Kong","year":"2007","unstructured":"Kong, S.G., Heo, J., Boughorbel, F., Zheng, Y., Abidi, B.R., Koschan, A., et al.: Multiscale fusion of visible and thermal IR images for illumination-invariant face recognition. Int. J. Comput. Vis. 71, 215\u2013233 (2007)","journal-title":"Int. J. Comput. Vis."},{"key":"2396_CR13","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/S0141-9382(97)00014-0","volume":"18","author":"A Toet","year":"1997","unstructured":"Toet, A., Ijspeert, J.K., Waxman, A.M.: Aguilar, fusion of visible and thermal imagery improves situational awareness. Displays 18, 85\u201395 (1997)","journal-title":"Displays"},{"key":"2396_CR14","doi-asserted-by":"publisher","first-page":"856","DOI":"10.1364\/JOSAA.34.000856","volume":"34","author":"M Ghaneizad","year":"2017","unstructured":"Ghaneizad, M., Kavehvash, Z., Aghajan, H.: Human detection in occluded scenes through optically inspired multi-camera image fusion. JOSA A 34, 856\u2013869 (2017)","journal-title":"JOSA A"},{"key":"2396_CR15","doi-asserted-by":"publisher","first-page":"2255","DOI":"10.1364\/AO.54.002255","volume":"54","author":"C Yang","year":"2015","unstructured":"Yang, C., Ma, J., Qi, S., Tian, J., Zheng, S., Tian, X.: Directional support value of Gaussian transformation for infrared small target detection. Appl. Opt. 54, 2255\u20132265 (2015)","journal-title":"Appl. Opt."},{"key":"2396_CR16","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1016\/j.patcog.2014.09.005","volume":"48","author":"J Ma","year":"2015","unstructured":"Ma, J., Zhao, J., Ma, Y., Tian, J.: Non-rigid visible and infrared face registration via regularized Gaussian fields criterion. Pattern Recogn. 48, 772\u2013784 (2015)","journal-title":"Pattern Recogn."},{"key":"2396_CR17","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.neucom.2012.12.060","volume":"130","author":"N Wang","year":"2014","unstructured":"Wang, N., Ma, Y., Zhan, K.: Spiking cortical model for multifocus image fusion. Neurocomputing 130, 44\u201351 (2014)","journal-title":"Neurocomputing"},{"key":"2396_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neucom.2015.10.080","volume":"177","author":"F Meng","year":"2016","unstructured":"Meng, F., Guo, B., Song, M., Zhang, X.: Image fusion with saliency map and interest points. Neurocomputing 177, 1\u20138 (2016)","journal-title":"Neurocomputing"},{"key":"2396_CR19","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/LGRS.2015.2503142","volume":"13","author":"Y Li","year":"2016","unstructured":"Li, Y., Tao, C., Tan, Y., Shang, K., Tian, J.: Unsupervised multilayer feature learning for satellite image scene classification. IEEE Geosci. Remote Sens. Lett. 13, 157\u2013161 (2016)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"2396_CR20","doi-asserted-by":"crossref","unstructured":"Ma, J., Zhao, J., Jiang, J., Zhou, H., Guo, X.: Locality preserving matching. Int. J. Comput. Vis. 1\u201320 (2017)","DOI":"10.24963\/ijcai.2017\/627"},{"key":"2396_CR21","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.patcog.2014.06.017","volume":"48","author":"Y Yang","year":"2015","unstructured":"Yang, Y., Ong, S.H., Foong, K.W.C.: A robust global and local mixture distance based non-rigid point set registration. Pattern Recogn. 48, 156\u2013173 (2015)","journal-title":"Pattern Recogn."},{"key":"2396_CR22","doi-asserted-by":"publisher","first-page":"3519","DOI":"10.1016\/j.patcog.2013.05.017","volume":"46","author":"J Ma","year":"2013","unstructured":"Ma, J., Zhao, J., Tian, J., Bai, X., Tu, Z.: Regularized vector field learning with sparse approximation for mismatch removal. Pattern Recogn. 46, 3519\u20133532 (2013)","journal-title":"Pattern Recogn."},{"key":"2396_CR23","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1109\/TCOM.1983.1095851","volume":"31","author":"P Burt","year":"1983","unstructured":"Burt, P., Adelson, E.: The Laplacian pyramid as a compact image code. IEEE Trans. Commun. 31, 532\u2013540 (1983)","journal-title":"IEEE Trans. Commun."},{"key":"2396_CR24","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/0167-8655(89)90003-2","volume":"9","author":"A Toet","year":"1989","unstructured":"Toet, A.: Image fusion by a ratio of low-pass pyramid. Pattern Recogn. Lett. 9, 245\u2013253 (1989)","journal-title":"Pattern Recogn. Lett."},{"key":"2396_CR25","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/0167-8655(89)90004-4","volume":"9","author":"A Toet","year":"1989","unstructured":"Toet, A.: A morphological pyramidal image decomposition. Pattern Recogn. Lett. 9, 255\u2013261 (1989)","journal-title":"Pattern Recogn. Lett."},{"key":"2396_CR26","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.inffus.2006.02.001","volume":"8","author":"F Nencini","year":"2007","unstructured":"Nencini, F., Garzelli, A., Baronti, S., Alparone, L.: Remote sensing image fusion using the curvelet transform. Inf. Fusion 8, 143\u2013156 (2007)","journal-title":"Inf. Fusion"},{"key":"2396_CR27","doi-asserted-by":"publisher","first-page":"1910","DOI":"10.1364\/AO.51.001910","volume":"51","author":"S Zhenfeng","year":"2012","unstructured":"Zhenfeng, S., Jun, L., Qimin, C.: Fusion of infrared and visible images based on focus measure operators in the curvelet domain. Appl. Opt. 51, 1910\u20131921 (2012)","journal-title":"Appl. Opt."},{"key":"2396_CR28","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.infrared.2013.07.010","volume":"61","author":"J Adu","year":"2013","unstructured":"Adu, J., Gan, J., Wang, Y., Huang, J.: Image fusion based on nonsubsampled contourlet transform for infrared and visible light image. Infrared Phys. Technol. 61, 94\u2013100 (2013)","journal-title":"Infrared Phys. Technol."},{"key":"2396_CR29","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.infrared.2015.11.003","volume":"74","author":"Q Zhang","year":"2016","unstructured":"Zhang, Q., Maldague, X.: An adaptive fusion approach for infrared and visible images based on NSCT and compressed sensing. Infrared Phys. Technol. 74, 11\u201320 (2016)","journal-title":"Infrared Phys. Technol."},{"key":"2396_CR30","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.3390\/s18041169","volume":"18","author":"Y Huang","year":"2018","unstructured":"Huang, Y., Bi, D., Wu, D.: Infrared and visible image fusion based on different constraints in the non-subsampled shearlet transform domain. Sensors 18, 1169 (2018)","journal-title":"Sensors"},{"key":"2396_CR31","doi-asserted-by":"publisher","first-page":"7349","DOI":"10.1364\/AO.44.007349","volume":"44","author":"SE El-Khamy","year":"2005","unstructured":"El-Khamy, S.E., Hadhoud, M.M., Dessouky, M.I., Salam, B.M., El-Samie, F.E.A.: Blind multichannel reconstruction of high-resolution images using wavelet fusion. Appl. Opt. 44, 7349\u20137356 (2005)","journal-title":"Appl. Opt."},{"key":"2396_CR32","doi-asserted-by":"publisher","first-page":"79039","DOI":"10.1109\/ACCESS.2018.2870393","volume":"6","author":"Y Zhou","year":"2018","unstructured":"Zhou, Y., Gao, K., Dou, Z., Hua, Z., Wang, H.: Target-aware fusion of infrared and visible images. IEEE Access 6, 79039\u201379049 (2018)","journal-title":"IEEE Access"},{"key":"2396_CR33","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.infrared.2017.02.005","volume":"82","author":"J Ma","year":"2017","unstructured":"Ma, J., Zhou, Z., Wang, B., Zong, H.: Infrared and visible image fusion based on visual saliency map and weighted least square optimization. Infrared Phys. Technol. 82, 8\u201317 (2017)","journal-title":"Infrared Phys. Technol."},{"key":"2396_CR34","doi-asserted-by":"publisher","first-page":"28609","DOI":"10.1007\/s11042-018-6099-x","volume":"78","author":"R Hou","year":"2019","unstructured":"Hou, R., Nie, R., Zhou, D., Cao, J., Liu, D.: Infrared and visible images fusion using visual saliency and optimized spiking cortical model in non-subsampled shearlet transform domain. Multimed. Tools Appl. 78, 28609\u201328632 (2019)","journal-title":"Multimed. Tools Appl."},{"key":"2396_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.infrared.2017.10.004","volume":"88","author":"X Jin","year":"2018","unstructured":"Jin, X., Jiang, Q., Yao, S., Zhou, D., Nie, R., Lee, S.-J., et al.: Infrared and visual image fusion method based on discrete cosine transform and local spatial frequency in discrete stationary wavelet transform domain. Infrared Phys. Technol. 88, 1\u201312 (2018)","journal-title":"Infrared Phys. Technol."},{"key":"2396_CR36","doi-asserted-by":"publisher","first-page":"1897","DOI":"10.1109\/83.877211","volume":"9","author":"HJ Heijmans","year":"2000","unstructured":"Heijmans, H.J., Goutsias, J.: Nonlinear multiresolution signal decomposition schemes. II. Morphological wavelets. IEEE Trans. Image Process. 9, 1897\u20131913 (2000)","journal-title":"IEEE Trans. Image Process."},{"key":"2396_CR37","doi-asserted-by":"publisher","first-page":"287789","DOI":"10.1117\/12.7977034","volume":"28","author":"A Toet","year":"1989","unstructured":"Toet, A., Van Ruyven, L.J., Valeton, J.M.: \"Merging thermal and visual images by a contrast pyramid. Opt. Eng. 28, 287789 (1989)","journal-title":"Opt. Eng."},{"key":"2396_CR38","doi-asserted-by":"publisher","first-page":"2543","DOI":"10.1098\/rsta.1999.0447","volume":"357","author":"N Kingsbury","year":"1999","unstructured":"Kingsbury, N.: Image processing with complex wavelets. Philos. Trans. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci. 357, 2543\u20132560 (1999)","journal-title":"Philos. Trans. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci."},{"key":"2396_CR39","doi-asserted-by":"publisher","first-page":"2162","DOI":"10.3390\/electronics9122162","volume":"9","author":"C Sun","year":"2020","unstructured":"Sun, C., Zhang, C., Xiong, N.: Infrared and visible image fusion techniques based on deep learning: a review. Electronics 9, 2162 (2020)","journal-title":"Electronics"},{"key":"2396_CR40","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1109\/TCI.2020.2965304","volume":"6","author":"R Hou","year":"2020","unstructured":"Hou, R., Zhou, D., Nie, R., Liu, D., Xiong, L., Guo, Y., et al.: VIF-Net: an unsupervised framework for infrared and visible image fusion. IEEE Trans. Comput. Imaging 6, 640\u2013651 (2020)","journal-title":"IEEE Trans. Comput. Imaging"},{"key":"2396_CR41","doi-asserted-by":"publisher","first-page":"103039","DOI":"10.1016\/j.infrared.2019.103039","volume":"102","author":"H Li","year":"2019","unstructured":"Li, H., Wu, X.-J., Durrani, T.S.: Infrared and visible image fusion with ResNet and zero-phase component analysis. Infrared Phys. Technol. 102, 103039 (2019)","journal-title":"Infrared Phys. Technol."},{"key":"2396_CR42","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1137\/S1052623496303470","volume":"9","author":"JC Lagarias","year":"1998","unstructured":"Lagarias, J.C., Reeds, J.A., Wright, M.H., Wright, P.E.: Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM J. Optim. 9, 112\u2013147 (1998)","journal-title":"SIAM J. Optim."},{"key":"2396_CR43","unstructured":"http:\/\/figshare.com\/articles\/TNO_Image_Fusion_Dataset\/1008029"},{"key":"2396_CR44","unstructured":"AbouRayan, M.: Real-time image fusion processing for astronomical images. (2016)"},{"key":"2396_CR45","doi-asserted-by":"crossref","unstructured":"Sadjadi, F.: Comparative image fusion analysais. In: 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05)-workshops, pp. 8\u20138. (2005)","DOI":"10.1109\/CVPR.2005.436"},{"key":"2396_CR46","unstructured":"Leung, L.W., King, B., Vohora, V.: Comparison of image data fusion techniques using entropy and INI. In: 22nd Asian Conference on Remote Sensing, p. 9. (200)"},{"key":"2396_CR47","first-page":"948","volume":"2","author":"M Chandana","year":"2011","unstructured":"Chandana, M., Amutha, S., Kumar, N.: A hybrid multi-focus medical image fusion based on wavelet transform. Int. J. Res. Rev. Comput. Sci. 2, 948 (2011)","journal-title":"Int. J. Res. Rev. Comput. Sci."},{"key":"2396_CR48","doi-asserted-by":"crossref","unstructured":"Thung, K.H., Raveendran, P.: A survey of image quality measures. In: 2009 international conference for technical postgraduates (TECHPOS), pp. 1\u20134. (2009)","DOI":"10.1109\/TECHPOS.2009.5412098"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-021-02396-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-021-02396-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-021-02396-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T15:08:36Z","timestamp":1726844916000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-021-02396-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,18]]},"references-count":48,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["2396"],"URL":"https:\/\/doi.org\/10.1007\/s00371-021-02396-9","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,18]]},"assertion":[{"value":"26 December 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}