Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Uniform Depth Channel Flow: Problem Solving

Uniform Depth Channel Flow: Problem Solving

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...

You might also read

Related Articles

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

Sort by

Same author

Comprehensive metabolic profiling of fluoxymesterone in vivo by GC-Orbitrap HRMS: a integrated strategy for novel biomarkers discovery in doping analysis.

Analytical and bioanalytical chemistry·2026

Same author

Characterization and metabolic profiling of oxymetholone and methasterone metabolites studied with human liver S9 model using GC-Orbitrap-HRMS for anti-doping purposes.

Analytical and bioanalytical chemistry·2025

Same author

Artesunate modulates the tumor microenvironment via STAT1/IRF1-mediated TAM repolarization and T cell activation in non-small cell lung cancer.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2025

Same author

Multiplex Nontargeted Framework Enables Tracking Metabolic Profile of Oxymetholone and Methasterone In Vivo at Nanogram Level by GC-Orbitrap-HRMS for Antidoping Purpose.

Analytical chemistry·2025

Same author

Phenylboronic acid-modified carbon dot-proteinase K nanohybrids for enhanced photodynamic therapy against bacterial biofilm infections.

Acta biomaterialia·2025

Same author

A novel analytical strategy based on gas chromatography-Orbitrap high-resolution mass spectrometry combined with solid-phase extraction for the monitoring of stanozolol misuse in human urine.

Rapid communications in mass spectrometry : RCM·2024

Search research articles

Related Experiment Video

Updated: Nov 7, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

A Residual Network and FPGA Based Real-Time Depth Map Enhancement System.

Zhenni Li¹, Haoyi Sun¹, Yuliang Gao²

¹College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.

Entropy (Basel, Switzerland)

|April 30, 2021

Summary

This study introduces a real-time depth map enhancement system using a dual-channel residual network. The system achieves high-speed processing and superior depth map super-resolution compared to existing methods.

Keywords:

FPGA ToF depth map enhancement residual network

More Related Videos

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

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

Published on: December 3, 2013

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Related Experiment Videos

Last Updated: Nov 7, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

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

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

Published on: December 3, 2013

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Area of Science:

Computer Vision
Image Processing
Deep Learning

Background:

Depth maps from sensors suffer from low resolution and noise.
Existing enhancement methods often require preprocessing and lack real-time capabilities.

Purpose of the Study:

To develop a real-time depth map enhancement system.
To improve depth map resolution and reduce noise.
To implement the system on an FPGA for efficient hardware acceleration.

Main Methods:

A dual-channel residual network processing depth and intensity maps separately.
Elimination of the preprocessing step for faster processing.
FPGA implementation for real-time depth sensing with dual-camera synchronization.

Main Results:

The proposed algorithm achieves real-time processing speeds exceeding 30 fps.
Demonstrated superior performance in depth map restoration and super-resolution over LRMC, DE-CNN, and DDTF algorithms.
FPGA implementation confirmed stable data throughput of 226 Mbps via USB 3.0 and supported dual-camera full-speed operation at 54 fps.

Conclusions:

The dual-channel residual network effectively enhances low-resolution, noisy depth maps in real-time.
FPGA implementation provides an efficient hardware solution for high-throughput depth sensing.
The system offers a significant advancement in depth map quality and processing speed for various applications.