Lightweight image super-resolution reconstruction based on high frequency fusion attention
Image Processing|更新时间:2026-03-02
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Lightweight image super-resolution reconstruction based on high frequency fusion attention
“This paper introduces the research progress in the field of image super-resolution, and relevant experts propose a lightweight image super-resolution reconstruction network based on high-frequency fusion attention, which provides an effective solution to the problems of high computational cost, limited local high-frequency texture perception, and insufficient key information mining in existing algorithms.”
Chinese Journal of Liquid Crystals and DisplaysVol. 41, Issue 2, Pages: 280-293(2026)
作者机构:
1. 中国科学院 西安光学精密机械研究所, 陕西 西安 710119
2. 中国科学院大学, 北京 100049
作者简介:
基金信息:
National Natural Science Foundation of China(52505045)
ZHENG Longguang, ZHU Bo, LI Guoliang, et al. Lightweight image super-resolution reconstruction based on high frequency fusion attention[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(2): 280-293.
DOI:
ZHENG Longguang, ZHU Bo, LI Guoliang, et al. Lightweight image super-resolution reconstruction based on high frequency fusion attention[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(2): 280-293. DOI: 10.37188/CJLCD.2025-0247. CSTR: 32172.14.CJLCD.2025-0247.
Lightweight image super-resolution reconstruction based on high frequency fusion attention