{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T19:51:23Z","timestamp":1768679483829,"version":"3.49.0"},"reference-count":33,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2016,6,10]],"date-time":"2016-06-10T00:00:00Z","timestamp":1465516800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper evaluates different wavelet-based cross-spectral image fusion strategies adopted to merge visible and infrared images. The objective is to find the best setup independently of the evaluation metric used to measure the performance. Quantitative performance results are obtained with state of the art approaches together with adaptations proposed in the current work. The options evaluated in the current work result from the combination of different setups in the wavelet image decomposition stage together with different fusion strategies for the final merging stage that generates the resulting representation. Most of the approaches evaluate results according to the application for which they are intended for. Sometimes a human observer is selected to judge the quality of the obtained results. In the current work, quantitative values are considered in order to find correlations between setups and performance of obtained results; these correlations can be used to define a criteria for selecting the best fusion strategy for a given pair of cross-spectral images. The whole procedure is evaluated with a large set of correctly registered visible and infrared image pairs, including both Near InfraRed (NIR) and Long Wave InfraRed (LWIR).<\/jats:p>","DOI":"10.3390\/s16060861","type":"journal-article","created":{"date-parts":[[2016,6,10]],"date-time":"2016-06-10T07:37:41Z","timestamp":1465544261000},"page":"861","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Wavelet-Based Visible and Infrared Image Fusion: A Comparative Study"],"prefix":"10.3390","volume":"16","author":[{"given":"Angel","family":"Sappa","sequence":"first","affiliation":[{"name":"Facultad de Ingenier\u00eda en Electricidad y Computaci\u00f3n, CIDIS, Escuela Superior Polit\u00e9cnica del Litoral, ESPOL, Campus Gustavo Galindo, Km 30.5 v\u00eda Perimetral, Guayaquil 09-01-5863, Ecuador"},{"name":"Computer Vision Center, Edifici O, Campus UAB, Bellaterra 08193, Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8337-7900","authenticated-orcid":false,"given":"Juan","family":"Carvajal","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda en Electricidad y Computaci\u00f3n, CIDIS, Escuela Superior Polit\u00e9cnica del Litoral, ESPOL, Campus Gustavo Galindo, Km 30.5 v\u00eda Perimetral, Guayaquil 09-01-5863, Ecuador"}]},{"given":"Cristhian","family":"Aguilera","sequence":"additional","affiliation":[{"name":"Computer Vision Center, Edifici O, Campus UAB, Bellaterra 08193, Barcelona, Spain"},{"name":"Computer Science Department, Universitat Aut\u00f2noma de Barcelona, Campus UAB, Bellaterra 08193, Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9288-5058","authenticated-orcid":false,"given":"Miguel","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Institute for Systems and Computer Engineering, Technology and Science, R. Dr. Roberto Frias 465, Porto 4200, Portugal"},{"name":"Institute of Electronics and Informatics Engineering of Aveiro, Campus Universit\u00e1rio de Santiago 3810-193 Aveiro, Portugal"}]},{"given":"Dennis","family":"Romero","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda en Electricidad y Computaci\u00f3n, CIDIS, Escuela Superior Polit\u00e9cnica del Litoral, ESPOL, Campus Gustavo Galindo, Km 30.5 v\u00eda Perimetral, Guayaquil 09-01-5863, Ecuador"}]},{"given":"Boris","family":"Vintimilla","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda en Electricidad y Computaci\u00f3n, CIDIS, Escuela Superior Polit\u00e9cnica del Litoral, ESPOL, Campus Gustavo Galindo, Km 30.5 v\u00eda Perimetral, Guayaquil 09-01-5863, Ecuador"}]}],"member":"1968","published-online":{"date-parts":[[2016,6,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.optcom.2014.12.032","article-title":"Detail preserved fusion of visible and infrared images using regional saliency extraction and multi-scale image decomposition","volume":"341","author":"Cui","year":"2015","journal-title":"Opt. 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