Image super-resolution reconstruction based on multidimensional attention network
Image Processing|更新时间:2025-07-10
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Image super-resolution reconstruction based on multidimensional attention network
“In the field of image super-resolution, researchers have proposed a single image super-resolution reconstruction method that integrates multidimensional attention networks, effectively improving image details and global consistency, significantly increasing peak signal-to-noise ratio and structural similarity values.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 7, Pages: 1056-1066(2025)
作者机构:
1.陕西理工大学 机械工程学院, 陕西 汉中 723001
2.陕西省工业自动化重点实验室, 陕西 汉中 723001
作者简介:
基金信息:
National Natural Science Foundation of China(62176146)
HE Xing, WANG Lei, ZHANG Pengchao, et al. Image super-resolution reconstruction based on multidimensional attention network[J]. Chinese journal of liquid crystals and displays, 2025, 40(7): 1056-1066.
DOI:
HE Xing, WANG Lei, ZHANG Pengchao, et al. Image super-resolution reconstruction based on multidimensional attention network[J]. Chinese journal of liquid crystals and displays, 2025, 40(7): 1056-1066. DOI: 10.37188/CJLCD.2025-0058. CSTR: 32172.14.CJLCD.2025-0058.
Image super-resolution reconstruction based on multidimensional attention network