{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,4]],"date-time":"2024-05-04T00:33:26Z","timestamp":1714782806120},"reference-count":24,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T00:00:00Z","timestamp":1714694400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T00:00:00Z","timestamp":1714694400000},"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":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-024-19289-3","type":"journal-article","created":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T06:01:53Z","timestamp":1714716113000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Construction of hyperspectral images from RGB images via CNN"],"prefix":"10.1007","author":[{"given":"Vibhuti","family":"Dabas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Garima","family":"Jaiswal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohit","family":"Agarwal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ritu","family":"Rani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arun","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,3]]},"reference":[{"issue":"6","key":"19289_CR1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1426","volume":"11","author":"G Jaiswal","year":"2021","unstructured":"Jaiswal G, Sharma A, Yadav S (2021) Critical insights into modern hyperspectral image applications through deep learning. Wiley Interdiscip Rev Data Min Knowl Discov 11(6):e1426","journal-title":"Wiley Interdiscip Rev Data Min Knowl Discov"},{"issue":"12","key":"19289_CR2","doi-asserted-by":"publisher","first-page":"590","DOI":"10.1016\/j.tifs.2007.06.001","volume":"18","author":"AA Gowen","year":"2007","unstructured":"Gowen AA, O\u2019Donnell CP, Cullen PJ, Downey G, Frias JM (2007) Hyperspectral imaging-an emerging process analytical tool for food quality and safety control. Trends Food Sci Technol 18(12):590\u2013598","journal-title":"Trends Food Sci Technol"},{"key":"19289_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2023.100584","volume":"50","author":"G Jaiswal","year":"2023","unstructured":"Jaiswal G, Ri Rani, Mangotra H, Sharma A (2023) Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges. Comput Sci Rev 50:100584","journal-title":"Comput Sci Rev"},{"issue":"3","key":"19289_CR4","first-page":"8","volume":"2","author":"P Shippert","year":"2003","unstructured":"Shippert P (2003) Introduction to hyperspectral image analysis. Online J Space Commun 2(3):8","journal-title":"Online J Space Commun"},{"issue":"5","key":"19289_CR5","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1179\/174313110X12771950995716","volume":"58","author":"PWT Yuen","year":"2010","unstructured":"Yuen PWT, Richardson M (2010) An introduction to hyperspectral imaging and its application for security, surveillance and target acquisition. Imaging Sci J 58(5):241\u2013253","journal-title":"Imaging Sci J"},{"key":"19289_CR6","unstructured":"Chen H, Yang G, Zhang H (2022) Hider: A hyperspectral image denoising transformer with spatial\u2013spectral constraints for hybrid noise removal. IEEE T Neural Networ Learning Syst"},{"key":"19289_CR7","doi-asserted-by":"crossref","unstructured":"Fu Y, Zhang T, Zheng Y, Zhang D, Huang H (2019) Hyperspectral image super-resolution with optimized rgb guidance. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 11661\u201311670","DOI":"10.1109\/CVPR.2019.01193"},{"key":"19289_CR8","doi-asserted-by":"crossref","unstructured":"Lahoud F, Zhou R, Susstrunk S (2018) Multi-modal spectral image super-resolution. In: Proceedings of the european conference on computer vision (ECCV) Workshops, pp 0\u20130","DOI":"10.1007\/978-3-030-11021-5_3"},{"key":"19289_CR9","doi-asserted-by":"crossref","unstructured":"Shi Z, Chen C, Xiong Z, Liu D, Wu (2018) Hscnn+: Advanced cnn-based hyperspectral recovery from rgb images. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp 939\u2013947","DOI":"10.1109\/CVPRW.2018.00139"},{"key":"19289_CR10","doi-asserted-by":"crossref","unstructured":"Li J, Wu C, Song R, Li Y, Liu F (2020) Adaptive weighted attention network with camera spectral sensitivity prior for spectral reconstruction from rgb images. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops, pp 462\u2013463","DOI":"10.1109\/CVPRW50498.2020.00239"},{"key":"19289_CR11","doi-asserted-by":"publisher","first-page":"7624","DOI":"10.1109\/JSTARS.2021.3099242","volume":"14","author":"L Liu","year":"2021","unstructured":"Liu L, Lei S, Shi Z, Zhang N, Zhu X (2021) Hyperspectral remote sensing imagery generation from rgb images based on joint discrimination. IEEE J Sel Top Appl Earth Obs Remote Sens 14:7624\u20137636","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"key":"19289_CR12","doi-asserted-by":"crossref","unstructured":"Hamzah R, Samah KAFA, Abdullah MF, Nordin S (2022) Investigation of rgb to hsi conversion methods for early plant disease detection using hierarchical synthesis convolutional neural networks. JOIV: Int J Inform Visualization 6(1):1\u20135","DOI":"10.30630\/joiv.6.1.852"},{"key":"19289_CR13","doi-asserted-by":"publisher","first-page":"1006452","DOI":"10.3389\/fmars.2022.1006452","volume":"9","author":"S Hu","year":"2023","unstructured":"Hu S, Hou R, Ming L, Meifang S, Chen P (2023) A hyperspectral image reconstruction algorithm based on rgb image using multi-scale atrous residual convolution network. Front Mar Sci 9:1006452","journal-title":"Front Mar Sci"},{"key":"19289_CR14","doi-asserted-by":"crossref","unstructured":"Nguyen RM, Prasad DK, Brown MS (2014) Training-based spectral reconstruction from a single rgb image. In: Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VII 13, pp 186\u2013201. Springer","DOI":"10.1007\/978-3-319-10584-0_13"},{"key":"19289_CR15","doi-asserted-by":"crossref","unstructured":"Kwon H, Tai YW (2015) Rgb-guided hyperspectral image upsampling. In: Proceedings of the IEEE international conference on computer vision, pp 307\u2013315","DOI":"10.1109\/ICCV.2015.43"},{"key":"19289_CR16","doi-asserted-by":"crossref","unstructured":"Arad B, Ben-Shahar O (2016) Sparse recovery of hyperspectral signal from natural rgb images. In: Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Proceedings, Part VII 14, pp 19\u201334. Springer","DOI":"10.1007\/978-3-319-46478-7_2"},{"key":"19289_CR17","doi-asserted-by":"crossref","unstructured":"Xiong Z, Shi Z, Li H, Wang L, Liu D, Wu F (2017) Hscnn: Cnn-based hyperspectral image recovery from spectrally undersampled projections. In: Proceedings of the IEEE international conference on computer vision workshops, pp 518\u2013525","DOI":"10.1109\/ICCVW.2017.68"},{"issue":"5","key":"19289_CR18","doi-asserted-by":"publisher","first-page":"52","DOI":"10.3390\/jimaging5050052","volume":"5","author":"A Signoroni","year":"2019","unstructured":"Signoroni A, Savardi M, Baronio A, Benini S (2019) Deep learning meets hyperspectral image analysis: A multidisciplinary review. J Imaging 5(5):52","journal-title":"J Imaging"},{"key":"19289_CR19","doi-asserted-by":"crossref","unstructured":"Arad B, Ben-Shahar O, Timofte RN, Van Gool L, Zhang L, Yang MN (2018) challenge on spectral reconstruction from rgb images. In: Proceedings of the conference on computer vision and pattern recognition workshops, Salt Lake City, UT, USA, pp 18\u201322","DOI":"10.1109\/CVPRW.2018.00138"},{"key":"19289_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-020-3102-9","volume":"65","author":"S Mei","year":"2022","unstructured":"Mei S, Geng Y, Hou J, Qian D (2022) Learning hyperspectral images from rgb images via a coarse-to-fine cnn. Sci China Inf Sci 65:1\u201314","journal-title":"Sci China Inf Sci"},{"issue":"3","key":"19289_CR21","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/S0034-4257(98)00064-9","volume":"65","author":"RO Green","year":"1998","unstructured":"Green RO, Eastwood ML, Sarture CM, Chrien TG, Aronsson M, Chippendale BJ, Faust JA, Pavri BE, Chovit CJ, Solis M et al (1998) Imaging spectroscopy and the airborne visible\/infrared imaging spectrometer (aviris). Remote Sens Environ 65(3):227\u2013248","journal-title":"Remote Sens Environ"},{"key":"19289_CR22","doi-asserted-by":"crossref","unstructured":"Arad B, Timofte R, Yahel R, Morag N, Bernat A, Cai Y, Lin J, Lin Z, Wang H, Zhang Y et al (2022) Ntire 2022 spectral recovery challenge and data set. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 863\u2013881","DOI":"10.1109\/CVPRW56347.2022.00103"},{"issue":"3","key":"19289_CR23","doi-asserted-by":"publisher","first-page":"8","DOI":"10.4236\/jcc.2019.73002","volume":"7","author":"U Sara","year":"2019","unstructured":"Sara U, Akter M, Uddin MS (2019) Image quality assessment through fsim, ssim, mse and psnr\u2013a comparative study. J Comput Commun 7(3):8\u201318","journal-title":"J Comput Commun"},{"key":"19289_CR24","doi-asserted-by":"crossref","unstructured":"Arad B, Timofte R, Ben-Shahar O, Lin YT, Finlayson GD (2020) Ntire 2020 challenge on spectral reconstruction from an rgb image. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops, pp 446\u2013447","DOI":"10.1109\/CVPRW50498.2020.00231"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-19289-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-19289-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-19289-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T06:04:57Z","timestamp":1714716297000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-024-19289-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,3]]},"references-count":24,"alternative-id":["19289"],"URL":"https:\/\/doi.org\/10.1007\/s11042-024-19289-3","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,3]]},"assertion":[{"value":"22 September 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 April 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 April 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 May 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Authors have no competing interests to declare that are relevant to the content of this article","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}