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However, these conventional approaches do not resolve the information domain discrepancy from multiple sources, resulting in the incompleteness of fusion. To solve the problem, we propose an asymmetric decomposition method. Firstly, an information abundance discrimination method is used to sort images into detailed and coarse categories. Then, different decomposition methods are proposed to extract features at different scales. Next, different fusion strategies are adopted for different scale features, including sum fusion, variance-based transformation, integrated fusion, and energy-based fusion. Finally, the fusion result is obtained through summation, retaining vital features from both images. Eight fusion metrics and two datasets containing registered visible, ISAR, and infrared images were adopted to evaluate the performance of the proposed method. The experimental results demonstrate that the proposed asymmetric decomposition method could preserve more details than the symmetric one, and performed better in both objective and subjective evaluations compared with the fifteen state-of-the-art fusion methods. These findings can inspire researchers to consider a new asymmetric fusion framework that can adapt to the differences in information richness of the images, and promote the development of fusion technology.<\/jats:p>","DOI":"10.3390\/rs15112784","type":"journal-article","created":{"date-parts":[[2023,5,27]],"date-time":"2023-05-27T16:17:33Z","timestamp":1685204253000},"page":"2784","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An ISAR and Visible Image Fusion Algorithm Based on Adaptive Guided Multi-Layer Side Window Box Filter Decomposition"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-4457-9832","authenticated-orcid":false,"given":"Jiajia","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Physics, Xidian University, Xi\u2019an 710071, China"}]},{"given":"Huan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Physics, Xidian University, Xi\u2019an 710071, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2439-6815","authenticated-orcid":false,"given":"Dong","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Physics, Xidian University, Xi\u2019an 710071, China"},{"name":"School of Electronics and Information Engineering, Wuxi University, Wuxi 214105, China"}]},{"given":"Pattathal V.","family":"Arun","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Group, Indian Institute of Information Technology, Sri City 441108, India"}]},{"given":"Wei","family":"Tan","sequence":"additional","affiliation":[{"name":"Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing Mechano-Electronic Engineering Institute, Beijing 100074, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1895-1894","authenticated-orcid":false,"given":"Pei","family":"Xiang","sequence":"additional","affiliation":[{"name":"School of Physics, Xidian University, Xi\u2019an 710071, China"}]},{"given":"Huixin","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Physics, Xidian University, Xi\u2019an 710071, China"}]},{"given":"Jianling","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Wuxi University, Wuxi 214105, China"}]},{"given":"Juan","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Basic, Air Force Engineering University, Xi\u2019an 710100, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"104405","DOI":"10.1016\/j.infrared.2022.104405","article-title":"TCPMFNet: An infrared and visible image fusion network with composite auto encoder and transformer\u2013convolutional parallel mixed fusion strategy","volume":"127","author":"Yi","year":"2022","journal-title":"Infrared Phys. 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