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

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.0K
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

2.3K
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
2.3K
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

20.1K
Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
20.1K
Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

14.9K
An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
14.9K

You might also read

Related Articles

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

Sort by
Same author

Advances in mucosal injury mechanisms in radiation-induced esophagitis associated with thoracic radiotherapy.

Precision radiation oncology·2026
Same author

Establishment and validation of the NEX-RiboTag system for profiling the excitatory neuronal translatome in the postnatal mouse forebrain.

Neuroscience·2026
Same author

Engineering Crystalline Frameworks into Porous Liquids to Fabricate Graphene Oxide/Porous Liquid Membranes for Efficient Li<sup>+</sup>/Mg<sup>2+</sup> Separation.

Nature communications·2026
Same author

FOXA1 protects against PM2.5-induced chronic lung injury via MARCHF8-dependent mitophagy inhibition.

Environment international·2026
Same author

HMGB1 blockade attenuates cardiac injury induced by radiotherapy combined with PD-1 inhibitor while maintaining the anti-tumor efficacy.

Apoptosis : an international journal on programmed cell death·2026
Same author

Wavelet Entropy Analysis of EEG Signals During Wake and Sleep in Patients with Alzheimer's Disease: A Pilot Study.

Neuropsychiatric disease and treatment·2026
Same journal

Integrating clinical, proteomics, and polygenic scores to improve cardiovascular risk prediction: a prospective cohort study.

Journal of advanced research·2026
Same journal

Novel β-hairpin amphiphiles utilizing tryptophan-interacting propensities exhibit multimodal antibacterial mechanism and promote wound healing in drug-resistant infections.

Journal of advanced research·2026
Same journal

Melanoma cell-derived LAG-3 enhances CXCL1/8-driven MDSCs recruitment and immune escape via TRIM28-mediated IκBα degradation.

Journal of advanced research·2026
Same journal

Corrigendum to "Metformin suppresses vascular smooth muscle cell senescence by promoting autophagic flux" [J. Adv. Res. 41 (2022) 205-218].

Journal of advanced research·2026
Same journal

Interactive canopy nitrogen and water additions delay phenology in a warm-temperate forest.

Journal of advanced research·2026
Same journal

Combination of degrading with non-degrading endophytic bacteria synergistically enhances rice resistance to chlorpyrifos stress.

Journal of advanced research·2026
See all related articles

Related Experiment Video

Updated: Jan 11, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.8K

Adaptive chaos compression sensing algorithm based on target detection.

Menggui Zeng1, Bingxue Jin1, Lingfeng Liu2

  • 1School of Software, Nanchang University, Nanchang 330029, China.

Journal of Advanced Research
|November 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel image compression method using compressed sensing to reduce file sizes. It prioritizes visual quality in important regions, balancing compression ratio and image fidelity for efficient storage and transmission.

Keywords:
Chaotic modelCompression sensingPrivacy protectionTargeted detection

More Related Videos

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

1.0K
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

8.8K

Related Experiment Videos

Last Updated: Jan 11, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.8K
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

1.0K
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

8.8K

Area of Science:

  • Computer Science
  • Information Theory
  • Signal Processing

Background:

  • Image information proliferation necessitates efficient storage and transmission solutions.
  • Image compression reduces data size by eliminating redundancy, lowering storage and bandwidth needs.
  • Compression-aware techniques integrate sampling and compression for enhanced efficiency.

Purpose of the Study:

  • Propose a compressed sensing-based image compression scheme.
  • Alleviate storage and transmission burdens.
  • Preserve visual quality of critical image regions.

Main Methods:

  • Image segmentation into important and non-important regions using target detection.
  • Application of distinct compression levels based on region importance.
  • Generation of measurement matrices and random coordinates using chaotic systems.
  • Random coordinate replacement strategy embedding important region pixels into non-important regions.

Main Results:

  • Efficient compression of non-important regions.
  • Maintenance of visual fidelity in important regions.
  • Achieved optimal balance between compression ratio and image quality.

Conclusions:

  • Differentiated compression strategy effectively reduces file sizes.
  • Ensures clarity and recoverability of critical information.
  • Chaotic system-generated partial Hadamard matrix and random coordinate replacement enhance storage, transmission efficiency, and information security.