{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,21]],"date-time":"2025-04-21T04:43:00Z","timestamp":1745210580484},"reference-count":17,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2002,1,22]],"date-time":"2002-01-22T00:00:00Z","timestamp":1011657600000},"content-version":"vor","delay-in-days":21,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J Imaging Syst Tech"],"published-print":{"date-parts":[[2002,1]]},"abstract":"Abstract<\/jats:title>Multiple undersampled images of a scene are often obtained by using a charge\u2010coupled device (CCD) detector array of sensors that are shifted relative to each other by subpixel displacements. This geometry of sensors, where each sensor has a subarray of sensing elements of suitable size, has been popular in the task of attaining spatial resolution enhancement from the acquired low\u2010resolution degraded images that comprise the set of observations. With the objective of improving the performance of the signal processing algorithms in the presence of the ubiquitous perturbation errors of displacements around the ideal subpixel locations (because of imperfections in fabrication), in addition to noisy observation, the errors\u2010in\u2010variables or the total least\u2010squares method is used in this paper. A regularized constrained total least\u2010squares (RCTLS) solution to the problem is given, which requires the minimization of a nonconvex and nonlinear cost functional. Simulations indicate that the choice of the regularization parameter influences significantly the quality of the solution. The L\u2010curve method is used to select the theoretically optimum value of the regularization parameter instead of the unsound but expedient trial\u2010and\u2010error approach. The expected superiority of this RCTLS approach over the conventional least\u2010squares theory\u2010based algorithm is substantiated by example. \u00a9 2002 John Wiley & Sons, Inc. Int J Imaging Syst Technol 12, 35\u201342, 2002<\/jats:p>","DOI":"10.1002\/ima.10004","type":"journal-article","created":{"date-parts":[[2002,8,25]],"date-time":"2002-08-25T22:11:41Z","timestamp":1030313501000},"page":"35-42","source":"Crossref","is-referenced-by-count":51,"title":["Constrained total least\u2010squares computations for high\u2010resolution image reconstruction with multisensors"],"prefix":"10.1002","volume":"12","author":[{"given":"Michael K.","family":"Ng","sequence":"first","affiliation":[]},{"given":"Jaehoon","family":"Koo","sequence":"additional","affiliation":[]},{"given":"N. K.","family":"Bose","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2002,1,22]]},"reference":[{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1098-1098(1998)9:4<294::AID-IMA11>3.0.CO;2-X"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00985891"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/81.2.247"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022383005969"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1137\/S0036144594276474"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-009-1740-8"},{"key":"e_1_2_1_8_1","volume-title":"Matrix computations","author":"Golub G.","year":"1996"},{"key":"e_1_2_1_9_1","volume-title":"Digital image processing","author":"Gonzalez R.","year":"1993"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01731984"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1137\/0914086"},{"key":"e_1_2_1_12_1","volume-title":"Fundamentals of digital image processing","author":"Jain A.","year":"1989"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/29.57545"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.403444"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011136812633"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.148604"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611971002"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/12\/4\/013"}],"container-title":["International Journal of Imaging Systems and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fima.10004","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/ima.10004","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,18]],"date-time":"2023-11-18T08:05:42Z","timestamp":1700294742000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/ima.10004"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,1]]},"references-count":17,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2002,1]]}},"alternative-id":["10.1002\/ima.10004"],"URL":"https:\/\/doi.org\/10.1002\/ima.10004","archive":["Portico"],"relation":{},"ISSN":["0899-9457","1098-1098"],"issn-type":[{"value":"0899-9457","type":"print"},{"value":"1098-1098","type":"electronic"}],"subject":[],"published":{"date-parts":[[2002,1]]}}}