{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:49:24Z","timestamp":1743014964293,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031113451"},{"type":"electronic","value":"9783031113468"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-11346-8_5","type":"book-chapter","created":{"date-parts":[[2022,7,23]],"date-time":"2022-07-23T03:33:48Z","timestamp":1658547228000},"page":"45-57","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Generic Multispectral Image Demosaicking Algorithm and\u00a0New Performance Evaluation Metric"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6770-6142","authenticated-orcid":false,"given":"Vishwas","family":"Rathi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6196-9347","authenticated-orcid":false,"given":"Puneet","family":"Goyal","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,24]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Aggarwal, H.K., Majumdar, A.: Single-sensor multi-spectral image demosaicing algorithm using learned interpolation weights. In: Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 2011\u20132014 (2014)","DOI":"10.1109\/IGARSS.2014.6946857"},{"key":"5_CR2","unstructured":"Brauers, J., Aach, T.: A color filter array based multispectral camera. In: 12 Workshop Farbbildverarbeitung, pp. 55\u201364 (2006)"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Geelen, B., Tack, N., Lambrechts, A.: A compact snapshot multispectral imager with a monolithically integrated per-pixel filter mosaic. In: Proceeding of SPIE, vol. 8974, p. 89740L (2014)","DOI":"10.1117\/12.2037607"},{"issue":"2","key":"5_CR4","first-page":"163","volume":"40","author":"M Gupta","year":"2021","unstructured":"Gupta, M., Goyal, P.: Demosaicing method for multispectral images using derivative operations. Am. J. Math. Manag. Sci. 40(2), 163\u2013176 (2021)","journal-title":"Am. J. Math. Manag. Sci."},{"issue":"3","key":"5_CR5","first-page":"1","volume":"26","author":"M Gupta","year":"2019","unstructured":"Gupta, M., Goyal, P., Ram, M.: Multispectral image demosaicking using limited MSFA sensors. Nonlinear Stud. 26(3), 1\u201316 (2019)","journal-title":"Nonlinear Stud."},{"issue":"2","key":"5_CR6","first-page":"108","volume":"7","author":"M Gupta","year":"2019","unstructured":"Gupta, M., Ram, M.: Weighted bilinear interpolation based generic multispectral image demosaicking method. J. Graphic Era Univ. 7(2), 108\u2013118 (2019)","journal-title":"J. Graphic Era Univ."},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Habtegebrial, T.A., Reis, G., Stricker, D.: Deep convolutional networks for snapshot hypercpectral demosaicking. In: Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, pp. 1\u20135 (2019)","DOI":"10.1109\/WHISPERS.2019.8921273"},{"issue":"3","key":"5_CR8","first-page":"715","volume":"2","author":"J Jinju","year":"2019","unstructured":"Jinju, J., Santhi, N., Ramar, K., Bama, B.S.: Spatial frequency discrete wavelet transform image fusion technique for remote sensing applications. Eng. Sci. Technol. Int. J. 2(3), 715\u2013726 (2019)","journal-title":"Eng. Sci. Technol. Int. J."},{"issue":"2","key":"5_CR9","first-page":"1","volume":"9","author":"C Liu","year":"2014","unstructured":"Liu, C., et al.: Application of multispectral imaging to determine quality attributes and ripeness stage in strawberry fruit. PLoS ONE 9(2), 1\u20138 (2014)","journal-title":"PLoS ONE"},{"issue":"1","key":"5_CR10","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.19.1.010901","volume":"19","author":"G Lu","year":"2014","unstructured":"Lu, G., Fei, B.: Medical hyperspectral imaging: a review. J. Biomed Optics 19(1), 010901 (2014)","journal-title":"J. Biomed Optics"},{"issue":"13","key":"5_CR11","doi-asserted-by":"publisher","first-page":"C14","DOI":"10.1364\/AO.53.000C14","volume":"53","author":"MA Martinez","year":"2014","unstructured":"Martinez, M.A., Valero, E.M., Hern\u00e1ndez-Andr\u00e9s, J., Romero, J., Langfelder, G.: Combining transverse field detectors and color filter arrays to improve multispectral imaging systems. Appl. Optics 53(13), C14\u2013C24 (2014)","journal-title":"Appl. Optics"},{"issue":"9","key":"5_CR12","doi-asserted-by":"publisher","first-page":"2780","DOI":"10.1109\/TIP.2006.877315","volume":"15","author":"L Miao","year":"2006","unstructured":"Miao, L., Qi, H.: The design and evaluation of a generic method for generating mosaicked multispectral filter arrays. IEEE Trans. Image Process. 15(9), 2780\u20132791 (2006)","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"5_CR13","doi-asserted-by":"publisher","first-page":"3550","DOI":"10.1109\/TIP.2006.877476","volume":"15","author":"L Miao","year":"2006","unstructured":"Miao, L., Ramanath, R., Snyder, W.E.: Binary tree-based generic demosaicking algorithm for multispectral filter arrays. IEEE Trans. Image Process. 15(11), 3550\u20133558 (2006)","journal-title":"IEEE Trans. Image Process."},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Mihoubi, S., Losson, O., Mathon, B., Macaire, L.: Multispectral demosaicking using intensity-based spectral correlation. In: Proceedings of the 5th International Conference on Image Processing, Theory, Tools and Applications, pp. 461\u2013466 (2015)","DOI":"10.1109\/IPTA.2015.7367188"},{"issue":"4","key":"5_CR15","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/TCI.2017.2691553","volume":"3","author":"S Mihoubi","year":"2017","unstructured":"Mihoubi, S., Losson, O., Mathon, B., Macaire, L.: Multispectral demosaicing using pseudo-panchromatic image. IEEE Trans. Comput. Imag. 3(4), 982\u2013995 (2017)","journal-title":"IEEE Trans. Comput. Imag."},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Mizutani, J., Ogawa, S., Shinoda, K., Hasegawa, M., Kato, S.: Multispectral demosaicking algorithm based on inter-channel correlation. In: Proceedings of the IEEE Visual Communications and Image Processing Conference, pp. 474\u2013477 (2014)","DOI":"10.1109\/VCIP.2014.7051609"},{"issue":"10","key":"5_CR17","doi-asserted-by":"publisher","first-page":"3048","DOI":"10.1109\/TIP.2015.2436342","volume":"24","author":"Y Monno","year":"2015","unstructured":"Monno, Y., Kikuchi, S., Tanaka, M., Okutomi, M.: A practical one-shot multispectral imaging system using a single image sensor. IEEE Trans. Image Process. 24(10), 3048\u20133059 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Rathi, V., Goyal, P.: Convolution filter based efficient multispectral image demosaicking for compact msfas. In: Proceedings of International Joint Conference on Computer Vision, Imaging and Computer Graphics, Theory and Application: VISAPP, pp. 112\u2013121 (2021)","DOI":"10.5220\/0010249601120121"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Rathi, V., Gupta, M., Goyal, P.: A new generic progressive approach based on spectral difference for single-sensor multispectral imaging system. In: Proceedings of International Joint Conference on Computer Vision, Imaging and Computer Graphics, Theory and Applications: VISAPP, pp. 329\u2013336 (2021)","DOI":"10.5220\/0010250103290336"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Shopovska, I., Jovanov, L., Philips, W.: RGB-NIR demosaicing using deep residual u-net. In: 26th Telecommunications Forum, pp. 1\u20134 (2018)","DOI":"10.1109\/TELFOR.2018.8611819"},{"key":"5_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.106627","volume":"141","author":"B Sun","year":"2020","unstructured":"Sun, B., et al.: Sparse spectral signal reconstruction for one proposed nine-band multispectral imaging system. Mech. Syst. Signal Process. 141, 106627 (2020)","journal-title":"Mech. Syst. Signal Process."},{"key":"5_CR22","doi-asserted-by":"publisher","first-page":"993","DOI":"10.3390\/s16070993","volume":"16","author":"JB Thomas","year":"2016","unstructured":"Thomas, J.B., Lapray, P.J., Gouton, P., Clerc, C.: Spectral characterization of a prototype SFA camera for joint visible and NIR acquisition. Sensor 16, 993 (2016)","journal-title":"Sensor"},{"issue":"9","key":"5_CR23","doi-asserted-by":"publisher","first-page":"2241","DOI":"10.1109\/TIP.2010.2046811","volume":"19","author":"F Yasuma","year":"2010","unstructured":"Yasuma, F., Mitsunaga, T., Iso, D., Nayar, S.: Generalized assorted pixel camera: postcapture control of resolution, dynamic range, and spectrum. IEEE Trans. Image Process. 19(9), 2241\u20132253 (2010)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Communications in Computer and Information Science","Computer Vision and Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-11346-8_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T20:28:24Z","timestamp":1664310504000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-11346-8_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031113451","9783031113468"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-11346-8_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CVIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Vision and Image Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rupnagar","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cvip2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iitrpr.cvip2021.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"260","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"77","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}