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

Computed Tomography01:10

Computed Tomography

9.5K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.5K
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

764
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...
764
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

639
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...
639
Differential Leveling01:12

Differential Leveling

891
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
891
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.6K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
2.6K
Reducing Line Loss01:18

Reducing Line Loss

446
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 in...
446

You might also read

Related Articles

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

Sort by
Same author

Mechanism-oriented processing and molecular strategies for shrimp allergen risk mitigation.

International journal of biological macromolecules·2026
Same author

Evaluating the robustness and readiness of large frontier models in health AI applications.

Nature medicine·2026
Same author

Trainees' experience and expectations of cerebrocardiac health advisors training programs in China: a mixed-method study.

Frontiers in public health·2026
Same author

Low-altitude economy: next frontier in spatial exploration and economic development.

National science review·2026
Same author

Efficacy and Safety of Secukinumab in Enthesitis-Related Arthritis: A Retrospective Study in China.

International journal of rheumatic diseases·2026
Same author

EXO70A1 governs both the timing and patterning of secondary cell wall deposition: evidence from an <i>in vitro</i> tracheary element system for individual-cell imaging.

Frontiers in plant science·2026
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

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

Semantic Frame Interpolation.

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

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

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

Related Experiment Video

Updated: Apr 2, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

16.2K

Layered compression for high-precision depth data.

Dan Miao, Jingjing Fu, Yan Lu

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 29, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a layered compression framework for high-precision depth data. It efficiently compresses depth information using an 8-bit encoder, ensuring real-time performance and high-quality reconstruction.

    More Related Videos

    Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
    12:59

    Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

    Published on: February 28, 2021

    4.3K
    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
    09:19

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

    Published on: April 18, 2025

    1.6K

    Related Experiment Videos

    Last Updated: Apr 2, 2026

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    16.2K
    Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
    12:59

    Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

    Published on: February 28, 2021

    4.3K
    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
    09:19

    Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

    Published on: April 18, 2025

    1.6K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Data Compression

    Background:

    • Advancements in depth sensing technology enable high-precision depth data acquisition.
    • Efficient representation and compression of high-precision depth data are crucial for storage and transmission.

    Purpose of the Study:

    • To propose a novel layered high-precision depth compression framework.
    • To achieve efficient compression with low complexity using standard 8-bit codecs.

    Main Methods:

    • Partitioning depth maps into Most Significant Bits (MSBs) and Least Significant Bits (LSBs) layers.
    • Employing an error-controllable pixel domain encoding for the MSBs layer.
    • Utilizing standard 8-bit image/video codecs for the LSBs layer compression.

    Main Results:

    • The proposed scheme achieves real-time depth compression.
    • Satisfactory reconstruction quality is maintained.
    • Compressed data shows improved performance in view synthesis and gesture recognition.

    Conclusions:

    • The layered compression framework effectively handles high-precision depth data.
    • The error control algorithm enhances application performance.
    • The method offers a practical solution for depth data storage and transmission.