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In this context, an efficient multimodal IF method based on improved dictionary learning is investigated. The key contributions of this paper are: (a) An improved KSVD algorithm is suggested for the dictionary learning process, (b) to reduce the computational time, only the informative patches are selected using energy feature, and (c) a novel region\u2010based fusion scheme is suggested for the first time for the problem on hand. The suggested technique is tested with a number of multimodal images from Harvard Medical School brain database. The results are compared with state\u2010of\u2010the\u2010art multiscale transform\u2010based methods and modified SR\u2010based methods. Unlike earlier methods, our proposed technique generates an adaptive dictionary through selection of informative patches only. This results in a compact dictionary with improved computational efficiency. The experimental results reveal that our approach outperforms other methods. The potential application of the suggested method could be in pathological images for follow\u2010up study and better treatment planning.<\/jats:p>","DOI":"10.1002\/ima.22395","type":"journal-article","created":{"date-parts":[[2019,12,31]],"date-time":"2019-12-31T14:56:41Z","timestamp":1577804201000},"page":"558-576","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A novel region\u2010based multimodal image fusion technique using improved dictionary learning"],"prefix":"10.1002","volume":"30","author":[{"given":"Bikash","family":"Meher","sequence":"first","affiliation":[{"name":"Department of Electronics &amp; Telecommunication Engineering VSS University of Technology  Burla India"}]},{"given":"Sanjay","family":"Agrawal","sequence":"additional","affiliation":[{"name":"Department of Electronics &amp; Telecommunication Engineering VSS University of Technology  Burla India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8676-0144","authenticated-orcid":false,"given":"Rutuparna","family":"Panda","sequence":"additional","affiliation":[{"name":"Department of Electronics &amp; 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