Results 61 to 70 of about 18,250,440 (204)
A Very Deep Spatial Transformer Towards Robust Single Image Super-Resolution
In general, existing research on single image super-resolution does not consider the practical application that, when image transmission is over noisy channels, the effect of any possible geometric transformations could incur significant quality loss and
Jianmin Jiang +2 more
doaj +1 more source
Real-Time analysis and visualization for single-molecule based super-resolution microscopy [PDF]
Accurate multidimensional localization of isolated fluorescent emitters is a time consuming process in single-molecule based super-resolution microscopy.
Jean-Baptiste Sibarita +14 more
core +1 more source
Robust Prior-Based Single Image Super Resolution Under Multiple Gaussian Degradations
Although SISR (Single Image Super Resolution) problem can be effectively solved by deep learning based methods, the training phase often considers single degradation type such as bicubic interpolation or Gaussian blur with fixed variance.
Wenyi Wang +4 more
doaj +1 more source
Arbitrary Scale Super-Resolution Neural Network Based on Residual Channel-Spatial Attention
In recent years, the performance of convolutional neural networks in single-image super-resolution has improved significantly. However, most state-of-the-art models address the super-resolution problem for specific scale factors.
Javier Gurrola-Ramos +2 more
doaj +1 more source
Proposed network architecture of Xception based single image super-resolution reconstruction.
Proposed network architecture of Xception based single image super-resolution reconstruction.
Takao Onoye (11320666) +2 more
core +1 more source
Despite natural image super-resolution (SR) methods have achieved great success, super-resolution methods for hyperspectral image (HSI) with rich spectral features are still a very challenging task.
Lijing Bu +3 more
doaj +1 more source
FRESH – FRI-based single-image super-resolution algorithm [PDF]
In this paper, we consider the problem of single image super-resolution and propose a novel algorithm that outperforms state-of-the-art methods without the need of learning patches pairs from external data sets.
Wei, X, Dragotti, P
core +1 more source
Single Image Super-resolution using Deformable Patches. [PDF]
We proposed a deformable patches based method for single image super-resolution. By the concept of deformation, a patch is not regarded as a fixed vector but a flexible deformation flow. Via deformable patches, the dictionary can cover more patterns that do not appear, thus becoming more expressive.
Zhu Y, Zhang Y, Yuille AL.
europepmc +4 more sources
Spectral Super-resolution from Single RGB Image Using Multi-scale ...
Yiqi Yan
core +1 more source

