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In this paper, we propose a two-stage three-dimensional attention network (ATTNet) for lightweight image super-resolution. First, we put forward the spatial feature encoder\u2013decoder (SFE-D) with a spatial attention mechanism. Next, the channel transposed attention module (CTAM) with a channel self-attention mechanism is designed. Both the modules are used for fine feature extraction in the low-resolution stage. Finally, the content-based pixel recombination module (CPRM) is proposed to reconstruct the detailed content with a joint attention mechanism in the high-resolution stage. According to our experimental results, significant performance in terms of the quantitative metrics and the subjective visual quality can be achieved on average compared with the state-of-the-art lightweight SISR algorithms.<\/jats:p>","DOI":"10.1142\/s0218001423540174","type":"journal-article","created":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T09:51:52Z","timestamp":1696845112000},"source":"Crossref","is-referenced-by-count":4,"title":["A Two-Stage Three-Dimensional Attention Network for Lightweight Image Super-Resolution"],"prefix":"10.1142","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0415-4867","authenticated-orcid":false,"given":"Lei","family":"Chen","sequence":"first","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing 400044, P. R. China"},{"name":"OPPO Inc., Chengdu 610000, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2782-8849","authenticated-orcid":false,"given":"Yanjie","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing 400044, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5261-8580","authenticated-orcid":false,"given":"Xu","family":"Zhuang","sequence":"additional","affiliation":[{"name":"OPPO Inc., Chengdu 610000, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1875-7693","authenticated-orcid":false,"given":"Jason","family":"Wang","sequence":"additional","affiliation":[{"name":"OPPO Inc., Chengdu 610000, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6146-7794","authenticated-orcid":false,"given":"Qin","family":"Mao","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Qiannan Normal University for Nationalities, Duyun 558000, P. R. 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