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

You might also read

Related Articles

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

Sort by

Same author

Single-base 2'OMe-modified LNA and MOE gapmers selectively silence <i>ACVR1</i> <sup><i>R206H</i></sup> in fibrodysplasia ossificans progressiva.

Molecular therapy. Nucleic acids·2026

Same author

Lipid nanoparticle delivery of antisense gapmers attenuates pathology in a mouse model of facioscapulohumeral muscular dystrophy.

Molecular therapy : the journal of the American Society of Gene Therapy·2026

Same author

Metacognitive Beliefs and Symptom Dimensions in OCD: A Network Analysis Identifying Central Nodes and a Severity Predictor.

Clinical psychology & psychotherapy·2026

Same author

Gabapentsal ameliorate cisplatin-induced vomiting in pigeons: neurochemical evidences and the involvement of serotonin and dopamine modulation.

Scientific reports·2026

Same author

Systematic literature review on the real-world effectiveness and safety of bempedoic acid.

Atherosclerosis plus·2026

Same author

Unexpected pyomyositis in a healthy adult: diagnostic hurdles and multifaceted treatment approaches-a case report.

Journal of medical case reports·2025

Same journal

Hidden Data Recovery and Forecasting via Next-Generation Reservoir Computing With Multiscale Delay Selection.

IEEE transactions on neural networks and learning systems·2026

Same journal

CAFF-CIL: Causality-Aware Freedom Forgetting Approach for Class-Incremental Learning.

IEEE transactions on neural networks and learning systems·2026

Same journal

Harmonic Autoencoding Framework for Multiple Tasks in Magnetic Particle Imaging Reconstruction.

IEEE transactions on neural networks and learning systems·2026

Same journal

A Survey on Human-Centric Voice-Face Multimodal Learning.

IEEE transactions on neural networks and learning systems·2026

Same journal

Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.

IEEE transactions on neural networks and learning systems·2026

Same journal

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

IEEE transactions on neural networks and learning systems·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 10, 2025

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Attention-Based Real Image Restoration.

Saeed Anwar, Nick Barnes, Lars Petersson

IEEE Transactions on Neural Networks and Learning Systems

|December 13, 2021

Summary

This summary is machine-generated.

This study introduces a new single-stage network for real image restoration, outperforming existing methods on diverse tasks like denoising and super-resolution. The proposed network enhances practical image restoration applications.

More Related Videos

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Oct 10, 2025

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Area of Science:

Computer Vision
Machine Learning
Image Processing

Background:

Deep convolutional neural networks excel with synthetic image degradations but struggle with real-world ones.
Existing methods for real image restoration often require complex multi-stage network architectures.

Purpose of the Study:

To propose a novel single-stage blind real image restoration network (Net) for improved practical applications.
To enhance the efficiency and effectiveness of image restoration algorithms for real-world degraded images.

Main Methods:

Developed a modular architecture for a single-stage blind real image restoration network.
Incorporated a residual on the residual structure to facilitate low-frequency information flow.
Utilized feature attention mechanisms to exploit channel dependencies within the network.

Main Results:

Demonstrated superior performance of the proposed Net on four restoration tasks (denoising, super-resolution, raindrop removal, JPEG compression) across 11 real degraded datasets.
Outperformed over 30 state-of-the-art algorithms in both quantitative metrics and visual quality.
Showcased capability in synthetic denoising through comparison on three synthetically generated degraded datasets.

Conclusions:

The proposed single-stage network offers a practical and superior solution for blind real image restoration.
The modular architecture and feature attention mechanisms contribute to the network's effectiveness on diverse real-world image degradations.