搜索super-resolution reconstruction共有 14 个结果
1
Lightweight image super-resolution reconstruction with multi-frequency feature and texture enhancement
Accepted Paper
2024年第8期 :
doi:10.19734/j.issn.1001-3695.2023.09.0561
2
Blind image super-resolution reconstruction based on degradation aware and sequence residuals
2023年第9期 : 2869-2874
doi:10.19734/j.issn.1001-3695.2022.12.0810
3
Review of depth map super-resolution reconstruction research
2023年第6期 : 1621-1628,1640
doi:10.19734/j.issn.1001-3695.2022.10.0505
4
Image super-resolution reconstruction based on joint image-frequency supervision
2023年第2期 : 623-627
doi:10.19734/j.issn.1001-3695.2022.05.0272
5
Single-image super-resolution network based on dual learning strategy
2021年第7期 : 2235-2240
doi:10.19734/j.issn.1001-3695.2020.07.0267
6
Research progress on generative adversarial network
2021年第4期 : 968-974
doi:10.19734/j.issn.1001-3695.2020.05.0095
7
Research on low-resolution face recognition algorithm for security surveillance scene
2021年第4期 : 1230-1234
doi:10.19734/j.issn.1001-3695.2020.01.0074
8
Medical image super-resolution reconstruction based on neighborhood regression
2020年第12期 : 3792-3794,3802
doi:10.19734/j.issn.1001-3695.2019.06.0311
9
Single image super resolution based on ResNeXt and WGAN
2020年第12期 : 3815-3819
doi:10.19734/j.issn.1001-3695.2019.09.0579
10
Depth image super-resolution reconstruction with two-channel pyramid convolutional neural network
2020年第8期 : 2541-2546
doi:10.19734/j.issn.1001-3695.2019.02.0096
11
Image super-resolution reconstruction based on adaptive semi-coupled dictionary learning
2020年第5期 : 1561-1565
doi:10.19734/j.issn.1001-3695.2018.11.0852
12
Survey of single image super resolution based on deep learning
2020年第2期 : 321-326
doi:10.19734/j.issn.1001-3695.2018.10.0610
13
Improved super-resolution reconstruction method for self-learning of single image
2019年第8期 : 2534-2538
doi:10.19734/j.issn.1001-3695.2018.02.0184
14
Video image super-resolution reconstruction method based on convolutional neural network
2019年第4期 : 1256-1260,1274
doi:10.19734/j.issn.1001-3695.2017.10.1020