{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:14:17Z","timestamp":1742955257338,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319685595"},{"type":"electronic","value":"9783319685601"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68560-1_26","type":"book-chapter","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T12:28:21Z","timestamp":1507811301000},"page":"287-297","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Colorizing Infrared Images Through a Triplet Conditional DCGAN Architecture"],"prefix":"10.1007","author":[{"given":"Patricia L.","family":"Su\u00e1rez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angel D.","family":"Sappa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boris X.","family":"Vintimilla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,13]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Cheng, Z., Yang, Q., Sheng, B.: Deep colorization. In: IEEE International Conference on Computer Vision (ICCV), pp. 415\u2013423 (2015)","DOI":"10.1109\/ICCV.2015.55"},{"key":"26_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1007\/978-3-319-46487-9_40","volume-title":"Computer Vision \u2013 ECCV 2016","author":"R Zhang","year":"2016","unstructured":"Zhang, R., Isola, P., Efros, A.A.: Colorful image colorization. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9907, pp. 649\u2013666. Springer, Cham (2016). doi:10.1007\/978-3-319-46487-9_40"},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Oliveira, M., Sappa, A.D., Santos, V.: Unsupervised local color correction for coarsely registered images. In: Computer Vision and Pattern Recognition (CVPR), pp. 201\u2013208. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995658"},{"key":"26_CR4","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1109\/TIP.2014.2375642","volume":"24","author":"M Oliveira","year":"2015","unstructured":"Oliveira, M., Sappa, A.D., Santos, V.: A probabilistic approach for color correction in image mosaicking applications. IEEE Trans. Image Process. 24, 508\u2013523 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"26_CR5","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/978-3-319-09363-5_6","volume-title":"Color Image and Video Enhancement","author":"Y Gavet","year":"2015","unstructured":"Gavet, Y., Debayle, J., Pinoli, J.-C.: The color logarithmic image processing (CoLIP) antagonist space. In: Celebi, M.E., Lecca, M., Smolka, B. (eds.) Color Image and Video Enhancement, pp. 155\u2013182. Springer, Cham (2015). doi:10.1007\/978-3-319-09363-5_6"},{"key":"26_CR6","unstructured":"Chen, T., Wang, Y., Schillings, V., Meinel, C.: Grayscale image matting and colorization. In: Asian Conference on Computer Vision (2004)"},{"key":"26_CR7","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1145\/566654.566576","volume":"21","author":"T Welsh","year":"2002","unstructured":"Welsh, T., Ashikhmin, M., Mueller, K.: Transferring color to greyscale images. ACM Trans. Graph. (TOG) 21, 277\u2013280 (2002)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"26_CR8","unstructured":"Ironi, R., Cohen-Or, D., Lischinski, D.: Colorization by example. In: Rendering Techniques, pp. 201\u2013210 (2005)"},{"key":"26_CR9","first-page":"2","volume":"17","author":"J Zbontar","year":"2016","unstructured":"Zbontar, J., LeCun, Y.: Stereo matching by training a convolutional neural network to compare image patches. J. Mach. Learn. Res. 17, 2 (2016)","journal-title":"J. Mach. Learn. Res."},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. CoRR abs\/1409.4842 (2014)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"26_CR11","unstructured":"Aguilera, C.A., Aguilera, F.J., Sappa, A.D., Aguilera, C., Toledo, R.: Learning cross-spectral similarity measures with deep convolutional neural networks. In: Conference on Computer Vision and Pattern Recognition Workshops"},{"key":"26_CR12","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1145\/2897824.2925974","volume":"35","author":"S Iizuka","year":"2016","unstructured":"Iizuka, S., Simo-Serra, E., Ishikawa, H.: Let there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification. ACM Trans. Graph. 35, 110 (2016). Proceedings of SIGGRAPH 2016","journal-title":"ACM Trans. Graph."},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Limmer, M., Lensch, H.: Infrared colorization using deep convolutional neural networks. arXiv preprint (2016). arXiv:1604.02245","DOI":"10.1109\/ICMLA.2016.0019"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Suarez, P.L., Sappa, A.D., Vintimilla, B.X.: Learning to colorize infrared images. In: 15th International Conference on Practical Applications of Agents and Multi-Agent Systems (2017)","DOI":"10.1007\/978-3-319-61578-3_16"},{"key":"26_CR15","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: Advances in Neural Information Processing Systems, pp. 2672\u20132680 (2014)"},{"key":"26_CR16","unstructured":"Mirza, M., Osindero, S.: Conditional generative adversarial nets. arXiv preprint (2014). arXiv:1411.1784"},{"key":"26_CR17","unstructured":"Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., Chen, X.: Improved techniques for training GANs. In: Advances in Neural Information Processing Systems, pp. 2226\u20132234 (2016)"},{"key":"26_CR18","doi-asserted-by":"publisher","first-page":"719","DOI":"10.3390\/s16050719","volume":"16","author":"C Park","year":"2016","unstructured":"Park, C., Kang, M.G.: Color restoration of RGBN multispectral filter array sensor images based on spectral decomposition. Sensors 16, 719 (2016)","journal-title":"Sensors"},{"key":"26_CR19","doi-asserted-by":"crossref","unstructured":"Brown, M., S\u00fcsstrunk, S.: Multi-spectral SIFT for scene category recognition. In: Computer Vision and Pattern Recognition (CVPR), pp. 177\u2013184. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995637"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68560-1_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T14:20:30Z","timestamp":1710166830000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68560-1_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319685595","9783319685601"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68560-1_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"13 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Catania","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iciap2017.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}