Single image super-resolution reconstruction based on split-attention networks
Image Processing|更新时间:2024-07-26
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Single image super-resolution reconstruction based on split-attention networks
“In the field of image super-resolution reconstruction, researchers have proposed a split attention network method that effectively improves the reconstruction performance under large-scale factors.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 7, Pages: 950-960(2024)
作者机构:
1.辽宁工程技术大学 电子与信息工程学院, 辽宁 葫芦岛 125105
2.渤海船舶职业学院, 辽宁 葫芦岛 125105
作者简介:
基金信息:
National Natural Science Foundation of China(61772249);Basic Scientific Research Project of Liaoning Provincial Colleges and Universities(LJKZ0358)
PENG Yanfei, LIU Lanxi, WANG Gang, et al. Single image super-resolution reconstruction based on split-attention networks[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 950-960.
DOI:
PENG Yanfei, LIU Lanxi, WANG Gang, et al. Single image super-resolution reconstruction based on split-attention networks[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 950-960. DOI: 10.37188/CJLCD.2023-0227.
Single image super-resolution reconstruction based on split-attention networks