Results 121 to 130 of about 18,250,440 (204)

Retraction: A comprehensive review of deep learning-based single image super-resolution.

PeerJ Comput Sci, 2022
PeerJ Editorial Office.
europepmc   +1 more source

Image super-resolution via saliency sparse representation

, 2014
The paper proposes a new approach to single-image super resolution (SR), which is based on sparse representation. Previous researchers just focus on the global intensive patch, without local intensive patch.
Zhang, Xue Jun, Hu, Bing Liang
core  

Progressive Upsampling Generative Adversarial Network with Collaborative Attention for Single-Image Super-Resolution. [PDF]

J Imaging
Lu H, Zhang J, Jing M, Wang Z, Wang W.
europepmc   +1 more source

Comprehensive Review of Deep Learning Approaches for Single-Image Super-Resolution. [PDF]

Sensors (Basel)
Liu Z, Jiang S, Feng S, Song Q, Zhang J.
europepmc   +1 more source

Deeply Recursive Low- and High-Frequency Fusing Networks for Single Image Super-Resolution. [PDF]

Sensors (Basel), 2020
Yang C, Lu G.
europepmc   +1 more source

Unsupervised single-image super-resolution for infant brain MRI. [PDF]

Neuroimage
Tsai CC, Chen X, Ahmad S, Yap PT.
europepmc   +1 more source

A comprehensive review of deep learning-based single image super-resolution.

PeerJ Comput Sci, 2021
Bashir SMA, Wang Y, Khan M, Niu Y.
europepmc   +1 more source

Hierarchical sparse Bayesian learning with adaptive Laplacian prior for single image super-resolution. [PDF]

Sci Rep
Qi M, Zhou Y, Hu Y, Xie C, Xu S.
europepmc   +1 more source

Gradient pooling distillation network for lightweight single image super-resolution reconstruction. [PDF]

PeerJ Comput Sci
Hong Z, Liang G, Xiong L.
europepmc   +1 more source

Single Color Image Super Resolution

International Journal of Computer Applications, 2021
Tessamma Thomas, Reji A.P.
openaire   +1 more source