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

Deconvolution01:20

Deconvolution

586
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
586
Thermal expansion and Thermal stress: Problem Solving01:27

Thermal expansion and Thermal stress: Problem Solving

2.2K
San Francisco's Golden Gate Bridge is exposed to temperatures ranging from -15 °C to 40 °C. At its coldest, the main span of the bridge is 1275 m long. Assuming that the bridge is made entirely of steel, what is the change in its length between these temperatures?
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in temperature (ΔT) is 55...
2.2K
Thermal Strain01:19

Thermal Strain

2.9K
Thermal strain is a concept that arises when we consider how temperature changes affect structures. Unlike the conventional assumption that structures remain constant under load, real-world scenarios often involve temperature fluctuations that can significantly impact these structures. Consider a homogeneous rod with a uniform cross-section resting freely on a flat horizontal surface. If the rod's temperature increases, the rod elongates. This elongation is proportional to the temperature...
2.9K
Thermal Expansion01:22

Thermal Expansion

5.7K
The expansion of alcohol in a thermometer is one of many commonly encountered examples of thermal expansion, which is the change in size or volume of a given system as its temperature changes. The most visible example is the expansion of hot air. When air is heated, it expands and becomes less dense than the surrounding air, which then exerts an upward force on the hot air to, for example, make steam and smoke rise, and hot air balloons float. The same behavior happens in all liquids and gases,...
5.7K
Thermal Stress01:09

Thermal Stress

3.3K
If the temperature of an object is changed while it is prevented from expanding or contracting, the object is subjected to stress. The stress is compressive if the object expands in the absence of constraint and tensile if it contracts. This stress resulting from temperature change is known as thermal stress. It can be quite large and can cause damage. To avoid this stress, engineers may design components so they can expand and contract freely. For instance, on highways, gaps are deliberately...
3.3K
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.8K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.8K

You might also read

Related Articles

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

Sort by
Same author

Dynamic models for ultrasound-switchable fluorescence.

Physics in medicine and biology·2026
Same author

CDK4 inhibition by luteolin enhances lenvatinib sensitivity in HCC via Wnt/β-catenin modulation.

Cancer cell international·2026
Same author

IGF-1 ameliorates the blood brain barrier disruption induced by the neonatal hypoxia-ischemia.

International immunopharmacology·2026
Same author

A cost-effective diffuse optical tomographic system for imaging absorbing and fluorescent targets in a scattering medium.

Scientific reports·2025
Same author

Investigation of Attenuation Correction Methods for Dual-Gated Single Photon Emission Computed Tomography (DG-SPECT).

Bioengineering (Basel, Switzerland)·2025
Same author

Neuroprotection of IGF-1 in neonatal hypoxic-ischemic brain injury through downregulation of FoXO3a-PUMA pathway.

Frontiers in cellular neuroscience·2025
Same journal

Rapid vs. delayed infrared responses after ischemia reveal recruitment of different vascular beds.

Quantitative infrared thermography journal·2015
Same journal

Reconstruction of Thermographic Signals to Map Perforator Vessels in Humans.

Quantitative infrared thermography journal·2013
Same journal

Observing temperature fluctuations in humans using infrared imaging.

Quantitative infrared thermography journal·2013
See all related articles

Related Experiment Video

Updated: Feb 1, 2026

Using a Thermal Camera to Measure Heat Loss Through Bird Feather Coats
04:55

Using a Thermal Camera to Measure Heat Loss Through Bird Feather Coats

Published on: June 17, 2020

4.0K

Thermal Image Enhancement through the Deconvolution Methods for Low-Cost Infrared Cameras.

Fuwen Lai1,2, Jayanth Kandukuri3, Baohong Yuan3

  • 1Dept. of Physics, University of Texas at Arlington, Arlington, TX 76019, USA.

Quantitative Infrared Thermography Journal
|December 14, 2018
PubMed
Summary
This summary is machine-generated.

Improving low-resolution infrared thermal camera spatial resolution is key for precise photothermal therapies. Deconvolution methods enhance image quality, enabling accurate temperature monitoring of small targets for advanced disease treatment.

Keywords:
Richardson-Lucy blind deconvolutionimage enhancementinfrared (IR) thermal cameraphotothermal therapytotal variation constrained deconvolution

More Related Videos

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

17.2K
Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
06:28

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Published on: January 30, 2020

13.2K

Related Experiment Videos

Last Updated: Feb 1, 2026

Using a Thermal Camera to Measure Heat Loss Through Bird Feather Coats
04:55

Using a Thermal Camera to Measure Heat Loss Through Bird Feather Coats

Published on: June 17, 2020

4.0K
Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

17.2K
Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
06:28

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Published on: January 30, 2020

13.2K

Area of Science:

  • Biomedical Engineering
  • Optical Imaging
  • Medical Physics

Background:

  • Infrared (IR) thermal cameras offer real-time temperature monitoring for photothermal/ablation therapies.
  • Precise disease treatment relies on accurate temperature data, often requiring high-resolution imaging.

Purpose of the Study:

  • To quantitatively improve the spatial resolution of a low-cost, low-resolution IR thermal camera.
  • To assess the effectiveness of deconvolution methods for enhancing thermal imaging in medical applications.

Main Methods:

  • Modeled the camera point spread function (PSF) experimentally.
  • Applied two deconvolution techniques: Richardson-Lucy blind deconvolution (BD) and total variation constrained deconvolution (TD).

Main Results:

  • Spatial resolution improved from 1.1 cycles/mm to 2.6 cycles/mm (BD) and 4.8 cycles/mm (TD) at 50% MTF.
  • Total variation constrained deconvolution (TD) resolved 1-mm objects with accurate temperature readings.
  • Enhanced thermal images using TD were comparable to those from high-resolution IR cameras.

Conclusions:

  • Deconvolution methods, particularly TD, effectively enhance thermal image quality from low-cost IR cameras.
  • Improved thermal imaging meets precision requirements for laser scanning protocols in photothermal/ablation therapies.
  • This approach enables cost-effective, precise temperature monitoring for advanced medical treatments.