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

Parallel Processing01:20

Parallel Processing

290
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
290
Semiconductors01:22

Semiconductors

981
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
981
Information Processing Approach01:30

Information Processing Approach

190
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
190
Clamper Circuit01:14

Clamper Circuit

625
A clamper circuit, also known as a DC restorer, represents a specialized variant of the rectifier circuit, notable for its method of taking the output across the diode rather than the capacitor. This configuration lends to several distinctive applications, particularly in handling square wave inputs.
Within this circuit, the diode's orientation prompts the capacitor to charge up to the level of the most negative peak of the input signal. Upon reaching this state, the diode ceases to...
625

You might also read

Related Articles

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

Sort by
Same author

Enhancing elderly care: Efficient and reliable real-time fall detection algorithm.

Digital health·2024
Same author

DeepmdQCT: A multitask network with domain invariant features and comprehensive attention mechanism for quantitative computer tomography diagnosis of osteoporosis.

Computers in biology and medicine·2024
Same author

PE-Net: a parallel framework for 3D inferior mesenteric artery segmentation.

Frontiers in physiology·2024
Same author

SR-POSE: A Novel Non-Contact Real-Time Rehabilitation Evaluation Method Using Lightweight Technology.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2023
Same author

End to End Multitask Joint Learning Model for Osteoporosis Classification in CT Images.

Computational intelligence and neuroscience·2023
Same author

Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images.

Medical image analysis·2022
Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026
Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026
Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026
Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026
Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026
Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026
See all related articles

Related Experiment Video

Updated: Oct 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

10.4K

A Soft Coprocessor Approach for Developing Image and Video Processing Applications on FPGAs.

Tiantai Deng1, Danny Crookes2, Roger Woods2

  • 1Department of Electronics and Electrical Engineering, The University of Sheffield, Sheffield S1 3JD, UK.

Journal of Imaging
|February 24, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel soft coprocessor approach for Field Programmable Gate Array (FPGA) development, simplifying complex image and video processing applications. This method enhances programmability and performance compared to traditional methods.

Keywords:
FPGAimage algebraimage processingsoft coprocessorsoft processor

More Related Videos

The Microfluidic Probe: Operation and Use for Localized Surface Processing
08:07

The Microfluidic Probe: Operation and Use for Localized Surface Processing

Published on: June 4, 2009

9.0K
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

7.2K

Related Experiment Videos

Last Updated: Oct 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

10.4K
The Microfluidic Probe: Operation and Use for Localized Surface Processing
08:07

The Microfluidic Probe: Operation and Use for Localized Surface Processing

Published on: June 4, 2009

9.0K
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

7.2K

Area of Science:

  • Computer Engineering
  • Digital Signal Processing
  • Hardware Acceleration

Background:

  • Field Programmable Gate Array (FPGA) application development is complex and time-consuming.
  • Existing tools for FPGA development require significant expertise and multi-skilled effort.
  • There is a need for higher-level abstractions to streamline FPGA-based application design.

Purpose of the Study:

  • To introduce a novel approach for developing FPGA-based image and video processing applications.
  • To raise the abstraction level for application developers working with FPGAs.
  • To present a system of streamed soft coprocessors implementing Image Algebra abstractions.

Main Methods:

  • Developed a set of soft coprocessors implementing key Image Algebra abstractions.
  • Designed coprocessors for easy chaining to enable dataflow graph application descriptions.
  • Implemented a prototype development environment called SCoPeS.
  • Enabled application modification during execution without re-synthesis.

Main Results:

  • The soft coprocessor approach demonstrates potential for improved performance over soft processor methods.
  • Achieved enhanced programmability compared to dedicated Hardware Description Language (HDL) cores.
  • Attained competitive real-time performance and resource utilization for domain-specific applications.

Conclusions:

  • The soft coprocessor approach offers a promising direction for FPGA application development.
  • This method can significantly improve the development experience for image and video processing tasks.
  • The SCoPeS environment facilitates efficient and flexible FPGA application design and modification.