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

Gradient and Del Operator01:14

Gradient and Del Operator

In mathematics and physics, the gradient and del operator are fundamental concepts used to describe the behavior of functions and fields in space. The gradient is a mathematical operator that gives both the magnitude and direction of the maximum spatial rate of change. Consider a person standing on a mountain. The slope of the mountain at any given point is not defined unless it is quantified in a particular direction. For this reason, a "directional derivative" is defined, which is a vector...
Poisson's And Laplace's Equation01:25

Poisson's And Laplace's Equation

The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
What is an Electrochemical Gradient?01:26

What is an Electrochemical Gradient?

Adenosine triphosphate, or ATP, is considered the primary energy source in cells. However, energy can also be stored in the electrochemical gradient of an ion across the plasma membrane, which is determined by two factors: its chemical and electrical gradients.
The chemical gradient relies on differences in the abundance of a substance on the outside versus the inside of a cell and flows from areas of high to low ion concentration. In contrast, the electrical gradient revolves around an ion’s...
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...

You might also read

Related Articles

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

Sort by
Same author

Analytic model for the autocorrelation matrix based on piecewise-functional spectra, and its application in camera characterization.

Optics express·2026
Same author

Matrix-R Theory: A Simple Generic Method to Improve RGB-Guided Spectral Recovery Algorithms.

Sensors (Basel, Switzerland)·2025
Same author

Integrating the Space of Reflectance Spectra.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Optimisation of Convolution-Based Image Lightness Processing.

Journal of imaging·2024
Same author

Improving the perception of low-light enhanced images.

Optics express·2024
Same author

Should intermittent pneumatic compression devices be standard therapy for the prevention of venous thromboembolic events in major surgery? Protocol for a randomised clinical trial (IMPOSTERS).

BMJ open·2024
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: May 30, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Lookup-table-based gradient field reconstruction.

Graham D Finlayson1, David Connah, Mark S Drew

  • 1School of Computing Sciences, The University of East Anglia, Norwich NR4 7TJ, UK. graham@cmp.uea.ac.uk

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|July 27, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a simple lookup-table (LUT) algorithm for reconstructing gradient fields in computer vision, effectively mapping multichannel images to scalar outputs without artifacts. The method offers a computationally cheaper and artifact-free alternative to complex reintegration techniques.

Related Experiment Videos

Last Updated: May 30, 2026

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Photography

Background:

  • Processing images in the gradient domain is beneficial for tasks like shadow removal and data fusion.
  • Reconstructing gradient fields can introduce artifacts such as smoothed or smeared edges due to the ill-posed nature of reintegration.

Purpose of the Study:

  • To present a simple, lookup-table-based algorithm for reconstructing gradient fields.
  • To address the artifact problem in gradient domain processing.
  • To provide an efficient and artifact-free method for image reconstruction.

Main Methods:

  • A lookup-table (LUT) based map is proposed to relate multichannel image inputs to reconstructed scalar outputs.
  • The algorithm learns a mapping from the multichannel gradient to the desired output gradient.
  • Reconstruction is framed as a low-dimensionality equation-solving exercise.

Main Results:

  • The proposed method effectively reconstructs gradient fields without introducing common artifacts.
  • It preserves target contrast comparable to complex existing methods.
  • The algorithm demonstrates significantly lower computational cost.

Conclusions:

  • The straightforward LUT-based method offers a superior alternative for gradient field reconstruction.
  • It successfully addresses artifact issues and computational expense in image processing tasks.
  • The method's generality is shown through applications in image fusion and shading recovery.