Results 231 to 240 of about 14,056,075 (251)
Image Super-Resolution Via Sparse Representation [PDF]
This thesis presents a new approach to single-image super-resolution (SR), based on sparse signal recovery. Research on image statistics suggests that image patches can be well represented as a sparse linear combination of elements from an appropriately ...
John Wright, Jianchao Yang
exaly +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Deep Learning for Image Super-Resolution: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Steven C H Hoi, Zhihao Wang
exaly
Real-world single image super-resolution: A brief review
Information Fusion, 2022Honggang Chen, Ce Zhu, Xiaohai He
exaly
Image super-resolution: A comprehensive review, recent trends, challenges and applications
Information Fusion, 2023Vishal Goyal +2 more
exaly
Image Super-Resolution via Iterative Refinement
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022William Chan, David J Fleet
exaly
Hyperspectral Image Super-Resolution Meets Deep Learning: A Survey and Perspective
IEEE/CAA Journal of Automatica Sinica, 2023Xinya Wang, Jiayi Ma, Yingsong Cheng
exaly
SRDiff: Single image super-resolution with diffusion probabilistic models
Neurocomputing, 2022Yueting Chen, Zhihai Xu, Meng Chang
exaly
Image Super-Resolution Using Deep Convolutional Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016Chen Change Loy, Chao Dong, Tang Xiao'ou
exaly

