[1]邵保泰,汤心溢,金璐,李争.基于生成对抗网络的单帧红外图像超分辨算法[J].红外与毫米波学报,2018,37(04):427-432.
[2]张艳青,马建红,韩颖,曹仰杰,李颉,杨聪.真实场景下图像超分辨率重建研究综述[J].计算机工程与应用,2023,59(08):28-40.
[3]孙旭,李晓光,李嘉锋,卓力.基于深度学习的图像超分辨率复原研究进展[J].自动化学报,2017,43(05):697-709.
[4]陈超,齐峰.卷积神经网络的发展及其在计算机视觉领域中的应用综述[J].计算机科学,2019,46(03):63-73.
[5]张顺,龚怡宏,王进军.深度卷积神经网络的发展及其在计算机视觉领域的应用[J].计算机学报,2019,42(03):453-482.
[6]钟梦圆,姜麟.超分辨率图像重建算法综述[J].计算机科学与探索,2022,16(05):972-990.
[7]唐艳秋,潘泓,朱亚平,李新德.图像超分辨率重建研究综述[J].电子学报,2020,48(07):1407-1420.
[8]王娟,刘子杉,武明虎,陈关海,郭力权.融合超分辨率重建技术的多尺度目标检测算法[J].西安电子科技大学学报,2023,50(03):122-131.
[9]Dong Chao,Loy Chen Change,He Kaiming,Tang Xiaoou.ImageSuper-Resolution Using Deep Convolutional Networks J].IEEEtransactions on pattern analysis and machine intelligence,2016,38(2).
[10]Wenzhe Shi,Jose Caballero,Ferenc Huszar,Johannes Totz,Andrew P Aitken,Rob Bishop,Daniel Rueckert,Zehan Wang.Real-Time Single Image and Video Super-Resolution Using an Ef-ficient Sub -Pixel Convolutional Neural Network J].CVPR,2016.
[11]Christian Ledig,Lucas Theis,Ferenc Huszar,Jose Caballero,Andrew P Aitken,Alykhan Tejani,Johannes Totz,ZehanWang,Wenzhe Shi.Photo-Realistic Single Image Super-Resolu-tion Using a Generative Adversarial Network [J].IEEE ComputerSociety,2016.
[12]Kangfu Mei,Aiwen Jiang,Juncheng Li,Bo Liu,Jihua Ye,Mingwen Wang.Deep residual refining based pseudo-multi-framenetwork for effective single image super-resolution J].IET Im-age Processing,2019,13 (4).
[13]Zhen Li,Jinglei Yang,Zheng Liu,Xiaomin Yang,GwanggilJeon,Wei Wu.Feedback Network for Image Super-Resolution[J].CVPR,2019. |