Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

6.8K
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...
6.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Characterization of the novel KIR3DL1*0150213 and KIR3DL1*112 alleles using sequence-based typing.

HLA·2019
Same author

Poly(ADP-ribose) polymerase 1 accelerates vascular calcification by upregulating Runx2.

Nature communications·2019
Same author

A photo-inducible protein-inorganic nanoparticle assembly for active targeted tumour theranostics.

Nanoscale·2019
Same author

Complex wireframe DNA nanostructures from simple building blocks.

Nature communications·2019
Same author

MiR-876-3p regulates cisplatin resistance and stem cell-like properties of gastric cancer cells by targeting TMED3.

Journal of gastroenterology and hepatology·2019
Same author

Structural basis of broad ebolavirus neutralization by a human survivor antibody.

Nature structural & molecular biology·2019
Same journal

Experience: Practical Problems for Acoustic Sensing.

Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking·2026
Same journal

PowerPhone: Unleashing the Acoustic Sensing Capability of Smartphones.

Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking·2026
Same journal

Wireless Sensing-based Daily Activity Tracking System Deployment in Low-Income Senior Housing Environments.

Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking·2025
Same journal

Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications.

Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking·2021
Same journal

CIDER: Enabling Robustness-Power Tradeoffs on a Computational Eyeglass.

Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking·2016
Same journal

CAreDroid: Adaptation Framework for Android Context-Aware Applications.

Proceedings of the ... annual International Conference on Mobile Computing and Networking. International Conference on Mobile Computing and Networking·2016
See all related articles

Related Experiment Video

Updated: May 20, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.4K

Perceptual-Centric Image Super-Resolution using Heterogeneous Processors on Mobile Devices.

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
PubMed
Summary
This summary is machine-generated.

This study introduces SR For Your Eyes (FYE-SR), a new method for image super-resolution (SR) on mobile devices. FYE-SR improves image quality and reduces processing time by intelligently using heterogeneous processors.

Keywords:
Image super-resolutionheterogeneous computingmobile devicesneural networksperceptual quality

More Related Videos

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

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

Published on: August 16, 2012

11.5K
Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging
10:01

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

Published on: September 8, 2017

7.7K

Related Experiment Videos

Last Updated: May 20, 2025

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.4K
Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

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

Published on: August 16, 2012

11.5K
Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging
10:01

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

Published on: September 8, 2017

7.7K

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Mobile Computing

Background:

  • Image super-resolution (SR) enhances mobile user experience but is computationally intensive.
  • Neural networks for SR challenge mobile devices with limited power.
  • AI accelerators offer computational speed but reduce precision, impacting image quality.

Purpose of the Study:

  • To develop a novel image super-resolution (SR) technique for mobile devices using heterogeneous processors.
  • To enhance the perceptual quality of upscaled images despite reduced arithmetic precision on AI accelerators.
  • To balance SR computation time constraints with minimal impact on image quality.

Main Methods:

  • Introduced SR For Your Eyes (FYE-SR), a novel image SR technique.
  • Strategically split SR models and dispatched layers to heterogeneous processors.
  • Optimized layer distribution to leverage AI accelerators while preserving perceptual quality.

Main Results:

  • FYE-SR significantly outperforms existing SR methods.
  • Achieved up to a 2x improvement in perceptual image quality.
  • Reduced SR computing latency by up to 5.6x with comparable image quality.

Conclusions:

  • FYE-SR effectively enhances perceptual image quality in mobile SR computations.
  • The technique successfully minimizes the negative impact of AI accelerators on image fidelity.
  • FYE-SR offers a viable solution for efficient and high-quality image super-resolution on mobile devices.