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Super-resolution Fluorescence Microscopy

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...

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相关实验视频

Updated: May 20, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

以感知为中心的图像超分辨率使用移动设备上的异质处理器.

Kai Huang¹, Xiangyu Yin¹, Tao Gu²

¹University of Pittsburgh, USA.

Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking

|March 25, 2025

概括

这项研究介绍了SR For Your Eyes (FYE-SR),这是一种在移动设备上实现图像超分辨率 (SR) 的新方法. 通过智能使用异质处理器,FYE-SR提高了图像质量,并减少了处理时间.

关键词:

图像超分辨率的超级分辨率.不同质的计算方式.移动设备移动设备移动设备神经网络的神经网络的神经网络感知质量是一种感知质量.

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

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Published on: August 16, 2012

Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

Published on: September 8, 2017

相关实验视频

Last Updated: May 20, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

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

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

Published on: August 16, 2012

Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

Published on: September 8, 2017

科学领域:

计算机视觉计算机视觉
人工智能的人工智能
移动计算移动计算

背景情况:

图像超分辨率 (SR) 增强了移动用户体验,但计算密集.
对于SR的神经网络,具有有限功率的移动设备面临挑战.
人工智能加速器提供计算速度,但降低精度,影响图像质量.

研究的目的:

为使用异质处理器的移动设备开发一种新的图像超分辨率 (SR) 技术.
为了提高升级图像的感知质量,尽管人工智能加速器的算术精度降低.
为了平衡SR计算时间限制,对图像质量产生最小的影响.

主要方法:

介绍了SR For Your Eyes (FYE-SR),这是一个新的图像SR技术.
从战略上划分SR模型并将层分发到异质处理器.
优化了分层分布,以利用AI加速器,同时保持感知质量.

主要成果:

FYE-SR显著优于现有的SR方法.
在感知图像质量方面实现了2倍的改进.
降低了高达5.6x的SR计算延迟,具有可比的图像质量.

结论:

FYE-SR有效地提高了移动SR计算中的感知图像质量.
该技术成功地减少了人工智能加速器对图像保真性的负面影响.
在移动设备上,FYE-SR提供了一种可行的解决方案,以实现高效和高质量的图像超分辨率.