Results 51 to 60 of about 390,825 (274)
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
Neighborhood Issue in Single-Frame Image Super-Resolution [PDF]
Super-resolution is the problem of generating one or a set of high-resolution images from one or a sequence of low-resolution frames. Most methods have been proposed for super-resolution based on multiple low resolution images of the same scene, which is called multiple-frame super-resolution.
Xu (Kevin) Su +4 more
openaire +2 more sources
SENext: Squeeze-and-ExcitationNext for Single Image Super-Resolution
Recent research on image and video processing using convolutional neural networks has shown remarkable improvements, especially in the area of single image super-resolution(SISR). The primary target of SISR is to recover the visually appealing high-resolution (HR) output image from the original degraded low-resolution (LR) input image.
Wazir Muhammad +2 more
openaire +2 more sources
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
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
Germline TP53 Mutations Causing Diamond–Blackfan Anemia: A French Report
ABSTRACT Diamond–Blackfan anemia is a rare congenital erythroblastopenia typically caused by mutations in ribosomal protein genes. Recently, gain‐of‐function mutations in TP53 have been identified as a novel cause of Diamond–Blackfan anemia. We report two French patients who both harbored a heterozygous TP53 deletion (NM_000546.5: c.1077delA; p ...
Rafael Moisan +6 more
wiley +1 more source
SREFBN: Enhanced feature block network for single‐image super‐resolution
Deep learning has assisted the field of single‐image super‐resolution (SR) in achieving new heights. However, the task of restoring a high‐resolution (HR) image from a highly degraded low‐resolution (LR) image is sophisticated due to poor image ...
Vachiraporn Ketsoi +3 more
doaj +1 more source
Light Field Super-Resolution Via Graph-Based Regularization
Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post-capture refocus, to depth estimation and image-based rendering ...
Frossard, Pascal, Rossi, Mattia
core +1 more source
ABSTRACT Background Gastrointestinal graft‐versus‐host disease (GI GVHD) following hematopoietic stem cell transplant is typically managed with medical therapy, but surgery and angioembolization may be warranted in selected cases with life‐threatening complications.
Gaia Brunetti +12 more
wiley +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

