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It is noticed the existing multi\u2010exposure fusion algorithm is not well adapted to the input images, which are overall bright or dark, the fused image quality is not pretty good, and the details are not preserved completely. So an adaptive factor to adapt the intensity of input images is presented here. First, the exposure assessment weight, texture change weight, and colour intensity weight are calculated by a sliding window. Finally, the images are fused by using a pyramid to avoid the seams. Twenty exposure input images of different scenes are selected, the subjective and objective aspects are analysed and compared with several existing multi\u2010exposure image fusion methods. The experimental results show that the proposed method can retain more details and obtain satisfactory visual effects on static scenes.<\/jats:p>","DOI":"10.1049\/ipr2.12317","type":"journal-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T03:46:38Z","timestamp":1628653598000},"page":"3211-3220","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Multi\u2010exposure image fusion based on feature evaluation with adaptive factor"],"prefix":"10.1049","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9121-7296","authenticated-orcid":false,"given":"Li","family":"Huang","sequence":"first","affiliation":[{"name":"School of Electronic Information Engineering Anhui University  Hefei Anhui China"}]},{"given":"Zhengping","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronic Information Engineering Anhui University  Hefei Anhui China"}]},{"given":"Chao","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Electronic Information Engineering Anhui University  Hefei Anhui China"}]},{"given":"Bo","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Electronic Information Engineering Anhui University  Hefei Anhui China"}]}],"member":"265","published-online":{"date-parts":[[2021,8,11]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"crossref","unstructured":"Jiao S.Y. et\u00a0al.:The synthesis of high dynamic range image based on local variance. 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Dani Lischinski HDR webpage.http:\/\/www.cs.huji.ac.il\/~\/hdr\/pages\/belgium.html"},{"key":"e_1_2_8_27_1","unstructured":"(2021). HDR photography gallery samples.http:\/\/www.easyhdr.com\/examples"},{"key":"e_1_2_8_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2290435"},{"key":"e_1_2_8_29_1","unstructured":"(2021). HDR projects\u2010software.http:\/\/www.projects\u2010software.com\/HDR"},{"key":"e_1_2_8_30_1","unstructured":"(2021). Martin Cadik HDR webpage.http:\/\/cadik.posvete.cz\/tmo"},{"key":"e_1_2_8_31_1","unstructured":"(2021). HDRsoft gallery.http:\/\/www.hdrsoft.com\/gallery"},{"key":"e_1_2_8_32_1","unstructured":"(2021). Chaman Singh Verma HDR webpage.http:\/\/pages.cs.wisc.edu\/~\/CS766_09\/HDRI\/hdr.html"},{"key":"e_1_2_8_33_1","unstructured":"(2021). MATLAB HDR webpage.http:\/\/www.mathworks.com\/help\/images\/ref\/makehdr.html"},{"key":"e_1_2_8_34_1","unstructured":"(2021). HDR Pangeasoft.http:\/\/pangeasoft.net\/pano\/bracketeer\/"},{"key":"e_1_2_8_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"}],"container-title":["IET Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1049\/ipr2.12317","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1049\/ipr2.12317","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ietresearch.onlinelibrary.wiley.com\/doi\/pdf\/10.1049\/ipr2.12317","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:16:54Z","timestamp":1761646614000},"score":1,"resource":{"primary":{"URL":"https:\/\/ietresearch.onlinelibrary.wiley.com\/doi\/10.1049\/ipr2.12317"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,11]]},"references-count":34,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2021,11]]}},"alternative-id":["10.1049\/ipr2.12317"],"URL":"https:\/\/doi.org\/10.1049\/ipr2.12317","archive":["Portico"],"relation":{},"ISSN":["1751-9659","1751-9667"],"issn-type":[{"value":"1751-9659","type":"print"},{"value":"1751-9667","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,11]]},"assertion":[{"value":"2021-01-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-07-08","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-08-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}