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

Reducing Line Loss01:18

Reducing Line Loss

227
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
227
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

3.8K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
3.8K
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

190
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
190
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

235
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
235
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

210
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
210
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

179
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
179

You might also read

Related Articles

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

Sort by
Same author

Multispectral extended depth-of-field fluorescence microscopy with co-designed meta-optics and neural reconstruction.

Light, science & applications·2026
Same author

Enhancing breast cancer screening: Unveiling explainable cross-view contributions in dual-view mammography with Sparse Bipartite Graphs Attention Networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2025
Same author

Functional Graph Image Representation applied to EEG-based Mental Workload Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Linearly transformed color guide for low-bitrate diffusion based image compression.

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

PET-based lesion graphs meet clinical data: An interpretable cross-attention framework for DLBCL treatment response prediction.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2025
Same author

Learning flat optics for extended depth of field microscopy imaging.

Nanophotonics (Berlin, Germany)·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: Nov 2, 2025

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.9K

Rate-Distortion Optimized Graph Coarsening and Partitioning for Light Field Coding.

Mira Rizkallah, Thomas Maugey, Christine Guillemot

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |June 7, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces optimized local graph transforms for efficient light field compression. The novel methods improve rate-distortion performance, outperforming fixed graph supports and competing with established schemes.

    More Related Videos

    Determining 3D Flow Fields via Multi-camera Light Field Imaging
    14:25

    Determining 3D Flow Fields via Multi-camera Light Field Imaging

    Published on: March 6, 2013

    16.8K
    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    11.1K

    Related Experiment Videos

    Last Updated: Nov 2, 2025

    Lensless Fluorescent Microscopy on a Chip
    11:23

    Lensless Fluorescent Microscopy on a Chip

    Published on: August 17, 2011

    17.9K
    Determining 3D Flow Fields via Multi-camera Light Field Imaging
    14:25

    Determining 3D Flow Fields via Multi-camera Light Field Imaging

    Published on: March 6, 2013

    16.8K
    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    11.1K

    Area of Science:

    • Signal Processing
    • Computer Vision
    • Data Compression

    Background:

    • Graph-based transforms offer powerful signal representation but face complexity challenges with high-dimensional data like light fields.
    • Local graph transforms on limited dimensions may not fully capture long-range signal correlations, impacting compression efficiency.

    Purpose of the Study:

    • To develop methods for optimizing local graph supports in a rate-distortion sense for efficient light field compression.
    • To address the complexity issues associated with large graph supports in high-dimensional signal processing.

    Main Methods:

    • Optimization of local graph supports using rate-distortion criteria.
    • Application of graph reduction techniques and spectral clustering for dimension reduction.
    • Derivation of distortion and rate models to guide graph optimization.

    Main Results:

    • Achieved significant rate-distortion performance gains compared to fixed graph supports.
    • Demonstrated competitive compression performance against HEVC-based and JPEG Pleno light field coding schemes.
    • Evaluated against homography-based low rank approximation and Fourier disparity layer methods.

    Conclusions:

    • Optimized local graph supports provide an effective strategy for efficient light field compression.
    • The proposed methods successfully balance compression efficiency and computational complexity.
    • This approach offers a promising alternative for light field data coding.