相关实验视频

Updated: Feb 22, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.1K

焦点引导特征融合网络用于轻量级图像超分辨率.

Haoran Jia1, Xin Wang1, Tongtai Cao1

  • 1Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China.

Neural networks : the official journal of the International Neural Network Society
|February 20, 2026
PubMed
概括

本研究介绍了FocusSRNet,这是一种用于单图像超分辨率 (SISR) 的新方法. 通过整合图像焦点信息,它可以通过轻量级的网络设计实现高精度的重建.

关键词:
非对称的卷积.焦点测量对焦的测量图像超分辨率的超级分辨率.

更多相关视频

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment07:12

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Published on: January 6, 2026

313
Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution08:41

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

12.0K

相关概念视频

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
14.6K