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Image super\u2010resolution is a vital technology closely related to real\u2010world applications, as it enhances the quality of existing images. Since enhancing fine details is crucial for the super\u2010resolution task, pixels that contribute to high\u2010frequency information should be emphasized. This paper proposes two methods to enhance high\u2010frequency details in super\u2010resolution images: a Laplacian pyramid\u2010based detail loss and a repeated upscaling and downscaling process. Total loss with our detail loss guides a model by separately generating and controlling super\u2010resolution and detail images. This approach allows the model to focus more effectively on high\u2010frequency components, resulting in improved super\u2010resolution images. Additionally, repeated upscaling and downscaling amplify the effectiveness of the detail loss by extracting diverse information from multiple low\u2010resolution features. We conduct two types of experiments. First, we design a CNN\u2010based model incorporating our methods. This model achieves state\u2010of\u2010the\u2010art results, surpassing all currently available CNN\u2010based and even some attention\u2010based models. Second, we apply our methods to existing attention\u2010based models on a small scale. In all our experiments, attention\u2010based models adding our detail loss show improvements compared to the originals. These results demonstrate our approaches effectively enhance super\u2010resolution images across different model\u00a0structures.<\/jats:p>","DOI":"10.1049\/ipr2.70238","type":"journal-article","created":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T18:30:34Z","timestamp":1761762634000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Detail Loss in Super\u2010Resolution Models Based on the Laplacian Pyramid and Repeated Upscaling and Downscaling Process"],"prefix":"10.1049","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3599-8686","authenticated-orcid":false,"given":"Sangjun","family":"Han","sequence":"first","affiliation":[{"name":"School of Mathematics &amp; Computing (Mathematics) Yonsei University Seoul South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9547-9533","authenticated-orcid":false,"given":"Youngmi","family":"Hur","sequence":"additional","affiliation":[{"name":"Department of Mathematics Yonsei University Seoul South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"265","published-online":{"date-parts":[[2025,10,29]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxm075"},{"key":"e_1_2_12_3_1","doi-asserted-by":"crossref","unstructured":"J. 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