{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T16:03:38Z","timestamp":1774454618703,"version":"3.50.1"},"reference-count":29,"publisher":"World Scientific Pub Co Pte Ltd","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:p> Recently, a method called Meta-SR has solved the problem of super-resolution of arbitrary scale factor with only one single model. However, it has a limited reconstruction accuracy compared with RDN[Formula: see text] and EDSR[Formula: see text]. Inspired by Meta-SR, we noticed that by combining the core idea of Meta-SR and D-DBPN, we might construct a network that has as good image reconstruction accuracy as D-DBPN\u2019s, at the same time, keeps arbitrary scaling function. According to Meta-SR\u2019s Meta-Upscale Module, we designed a different structure called Meta-Downscale Module. By using these two different modules and back-projection structure, we construct an arbitrary back-projection network, which has the ability to enlarge images with arbitrary scale factor by using only one single model, meanwhile, obtains state-of-the-art reconstruction results. Through extensive experiments, our proposed method performs better reconstruction effect than Meta-SR and more efficient than D-DBPN. Besides that, we also evaluated the proposed method on widely used benchmark dataset on single image super-resolution. The experimental results show the superiority of our model compared to RDN+ and EDSR+. <\/jats:p>","DOI":"10.1142\/s1469026820500261","type":"journal-article","created":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T16:01:58Z","timestamp":1602691318000},"source":"Crossref","is-referenced-by-count":1,"title":["Arbitrary Back-Projection Networks for Image Super-Resolution"],"prefix":"10.1142","volume":"19","author":[{"given":"Tingsong","family":"Ma","sequence":"first","affiliation":[{"name":"School of Information and Software Engineering, University of Electronic Science and Technology of China, No.4, Section 2, Jianshe North Road, Chengdu, Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenhong","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, University of Electronic Science and Technology of China, No.4, Section 2, Jianshe North Road, Chengdu, Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2020,10,14]]},"reference":[{"key":"S1469026820500261BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2890812"},{"key":"S1469026820500261BIB002","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2018.02.016"},{"key":"S1469026820500261BIB003","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2018.2827239"},{"key":"S1469026820500261BIB004","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.05.050"},{"key":"S1469026820500261BIB005","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"S1469026820500261BIB006","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1101-7"},{"key":"S1469026820500261BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865356"},{"key":"S1469026820500261BIB008","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2018.2867611"},{"key":"S1469026820500261BIB009","volume-title":"IEEE Conf. 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