Lightweight Single Image Super-Resolution with Selective Channel Processing Network. [PDF]
Zhu H, Tang H, Hu Y, Tao H, Xie C.
europepmc +1 more source
Deep learning-based single image super-resolution for low-field MR brain images. [PDF]
de Leeuw den Bouter ML +5 more
europepmc +1 more source
Multi-scale Xception based depthwise separable convolution for single image super-resolution. [PDF]
Muhammad W, Aramvith S, Onoye T.
europepmc +1 more source
Abstract Image Interpolation by Super-Resolution
Term “super-resolution ” is typically used for a high-resolution image produced from several low-resolution noisy observations. In this paper, we consider the problem of high-quality interpolation of a single noise-free image.
Andrey Nasonov +2 more
core
Single-Image Super-Resolution Improvement of X-ray Single-Particle Diffraction Images Using a Convolutional Neural Network. [PDF]
Tokuhisa A +4 more
europepmc +1 more source
Introduction: Super-Resolution and Single-Molecule Imaging [PDF]
Julie Biteen, Katherine A. Willets
openaire +2 more sources
Enhanced Single Image Super Resolution Method Using Lightweight Multi-Scale Channel Dense Network. [PDF]
Lee Y, Jun D, Kim BG, Lee H.
europepmc +1 more source
On using gait to enhance face extraction for visual surveillance
Visual surveillance finds increasing deployment for monitoring urban environments. Operators need to be able to determine identity from surveillance images and often use face recognition for this purpose.
Jung, Sung Uk
core +1 more source
Stereo image super-resolution extracts features from two stereoscopic images to enhance the quality of both views. The project goal was to develop a state-of-the-art stereo image super-resolution model to compete in the NTIRE 2024 Stereo Image Super ...
Samms, Quinn +3 more
core +1 more source
Adaptive Residual Correction Network for Efficient Single Image Super-Resolution. [PDF]
Tian J, Guo J, Feng B, Zhu H, Luo Y.
europepmc +1 more source

