基于深度学习的单幅图像超分辨率重建算法综述
李佳星， 赵勇先， 王京华 - 自动化学报, 2021 - aas.net.cn
… image datasets for single image super-resolution reconstruction. Then, the innovation and
progress of single image super-resolution … an efficient sub-pixel convolutional neural network. …
progress of single image super-resolution … an efficient sub-pixel convolutional neural network. …
基于模糊核估计的图像盲超分辨率神经网络
李公平， 陆耀， 王子建， 吴紫薇， 汪顺舟 - 自动化学报, 2023 - aas.net.cn
… vision neural computing, image … image super-resolution is challenging and has important
application values. This paper proposes a blurred image blind super-resolution network via …
application values. This paper proposes a blurred image blind super-resolution network via …
[HTML][HTML] 跨尺度耦合的连续比例因子图像超分辨率
吴瀚霖， 李宛谕， 张立保 - 2022 - cjig.cn
… , including super-resolution convolutional neural network(SRCNN), … Image super-resolution
via dual-state recurrent networks//… Image super-resolution using very deep residual channel …
via dual-state recurrent networks//… Image super-resolution using very deep residual channel …
[PDF][PDF] 基于自相似特征增强网络结构的图像超分辨率重建
汪荣贵， 雷辉， 杨娟， 薛丽霞 - 光电工程, 2022 - researching.cn
… single image super-resolution (SISR). However, most of the existing image super-resolution …
作用,Han 等人提出了双态递归网络(dual-state recurrent networks,DSRN) [21],通过联合低分辨…
作用,Han 等人提出了双态递归网络(dual-state recurrent networks,DSRN) [21],通过联合低分辨…
[PDF][PDF] 非抽取小波边缘学习深度残差网络的单幅图像超分辨率重建
王相海， 赵晓阳， 王鑫莹， 赵克云， 宋传鸣 - 电子学报, 2022 - ejournal.org.cn
… , a single image super-resolution reconstruction model using deep residual networks with
non… Image super-resolu⁃ tion via dual-state recurrent networks[C]//Proceedings of the IEEE …
non… Image super-resolu⁃ tion via dual-state recurrent networks[C]//Proceedings of the IEEE …
[HTML][HTML] 改进残差块和对抗损失的GAN 图像超分辨率重建
张杨忆， 林泓， 管钰华， 刘春 - 哈尔滨工业大学学报, 2019 - hit.alljournals.cn
… GAN image super-resolution reconstruction model with improved residual block and
adversarial loss[J]. … 1 Parameter setting of convolution neural network in the generative model …
adversarial loss[J]. … 1 Parameter setting of convolution neural network in the generative model …
深度学习的图像超分辨率重建技术综述.
杨才东， 李承阳， 李忠博， 谢永强… - Journal of Frontiers of …, 2022 - search.ebscohost.com
… the image super-resolution reconstruction field. This paper summarizes the image super-resolution …
)[84],MemNet[85]等模型中,都加入了 递归结构,DSRN(dual-state recurrent network),…
)[84],MemNet[85]等模型中,都加入了 递归结构,DSRN(dual-state recurrent network),…
[PDF][PDF] 基于深度学习的单帧图像超分辨率重建综述
吴靖， 叶晓晶， 黄峰， 陈丽琼， 王志锋， 刘文犀 - 电子学报, 2022 - ejournal.org.cn
… image super-resolution reconstruction has also made remarkable progress. Based on a brief
description of the image super-resolution … 递归网络DSRN(DualState Recurrent Network),其…
description of the image super-resolution … 递归网络DSRN(DualState Recurrent Network),其…