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

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

893
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
893
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

1.8K
When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
1.8K
Fast Fourier Transform01:10

Fast Fourier Transform

324
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
324

You might also read

Related Articles

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

Sort by
Same author

High-Precision Laser Time-Frequency Synchronization in Space Based on an Improved Kalman Filtering Method.

Sensors (Basel, Switzerland)·2026
Same author

Area-Time-Efficient Secure Comb Scalar Multiplication Architecture Based on Recoding.

Micromachines·2024
Same author

Secure ECDSA SRAM-PUF Based on Universal Single/Double Scalar Multiplication Architecture.

Micromachines·2024
Same author

Blood biomarkers for post-stroke cognitive impairment: A systematic review and meta-analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association·2024
Same author

Fine particulate matter 2.5 induces susceptibility to Pseudomonas aeruginosa infection via expansion of PD-L1<sup>high</sup> neutrophils in mice.

Respiratory research·2024
Same author

UPP1 promotes lung adenocarcinoma progression through the induction of an immunosuppressive microenvironment.

Nature communications·2024
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jul 2, 2025

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.3K

Lightweight and Real-Time Infrared Image Processor Based on FPGA.

Xiaoqing Wang1,2, Xiang He3, Xiangyu Zhu3

  • 1Center for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements (MOE), School of Physics, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)
|February 24, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel FPGA-based infrared image processor utilizing hardware-optimized algorithms for real-time performance. The processor effectively corrects sensor non-uniformity and compensates for blind pixels while preserving image details, offering lower power consumption.

Keywords:
edge-preserving filteringfield programmable gate arrayinfrared image processingnon-uniformity correction

More Related Videos

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
09:59

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

7.8K
Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe
12:19

Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe

Published on: September 15, 2016

7.1K

Related Experiment Videos

Last Updated: Jul 2, 2025

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.3K
Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
09:59

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

7.8K
Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe
12:19

Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe

Published on: September 15, 2016

7.1K

Area of Science:

  • Electrical Engineering
  • Computer Engineering
  • Image Processing

Background:

  • Infrared imaging systems often suffer from sensor non-uniformity and defective pixels, degrading image quality.
  • Real-time processing of infrared images requires efficient algorithms and hardware acceleration.
  • Existing solutions may have high resource overhead or power consumption.

Purpose of the Study:

  • To develop a lightweight and real-time infrared image processor using FPGA technology.
  • To implement hardware-oriented algorithms for non-uniformity correction and blind pixel compensation.
  • To optimize the processor for minimal resource utilization and low power consumption.

Main Methods:

  • Implementation of a two-point correction algorithm for sensor non-uniformity calibration.
  • Development of a blind pixel detection algorithm using first-level approximation.
  • Application of a side-window-filtering method for blind pixel compensation with simultaneous convolution kernel computation.
  • Integration of lightweight histogram equalization for enhanced visual observation.
  • Hardware implementation on a Xilinx XC7A100T-2 FPGA.

Main Results:

  • Achieved real-time non-uniformity correction for 640x480 resolution images.
  • Effective compensation of blind pixels while preserving image details.
  • Processor utilized 10,894 LUTs, 9367 FFs, 4 BRAMs, and 5 DSP48.
  • Operates at 30 frames per second with 1800 mW power consumption under a 50 MHz clock.
  • Maximum operating frequency reached 186 MHz.

Conclusions:

  • The proposed FPGA-based infrared image processor offers a lightweight and efficient solution for real-time image processing.
  • The implemented algorithms provide effective non-uniformity correction and blind pixel compensation with minimal resource overhead.
  • The design demonstrates lower power consumption compared to existing similar works, making it suitable for various infrared imaging applications.