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 Experiment Video

Updated: Jun 13, 2026

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

A comprehensive framework for image inpainting.

Aurélie Bugeau1, Marcelo Bertalmío, Vicent Caselles

  • 1Barcelona Media--Centre d'Innovació, 08018 Barcelona, Spain. aurelie.bugeau@barcelonamedia.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|May 4, 2010
PubMed
Summary
This summary is machine-generated.

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

An Evidence-Grounded Research Assistant for Functional Genomics and Drug Target Assessment.

bioRxiv : the preprint server for biology·2026
Same author

A wearable-based aging clock associates with disease and behavior.

Nature communications·2025
Same author

A Neural Model for V1 That Incorporates Dendritic Nonlinearities and Backpropagating Action Potentials.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same author

Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli.

Scientific reports·2025
Same author

Peer support: Current status and future opportunities for college mental health promotion.

Journal of American college health : J of ACH·2025
Same author

Validation of a Mobile App for Remote Autism Screening in Toddlers.

NEJM AI·2025
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

This study introduces a novel image inpainting method combining texture synthesis, partial differential equations (PDEs), and pixel coherence. The integrated approach yields state-of-the-art results, outperforming individual techniques for realistic image restoration.

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Mathematics

Background:

  • Image inpainting aims to reconstruct missing or corrupted image regions seamlessly.
  • Existing methods often rely on texture synthesis, geometric partial differential equations (PDEs), or pixel coherence individually.

Purpose of the Study:

  • To develop a unified variational model for image inpainting.
  • To integrate three core techniques: copy-and-paste texture synthesis, geometric PDEs, and pixel coherence.

Main Methods:

  • A variational model was formulated to approximate the minimum of a proposed energy functional.
  • The model combines texture synthesis, geometric PDEs, and pixel coherence as building blocks.
  • A working algorithm was developed to implement the proposed inpainting method.

More Related Videos

Clock Scan Protocol for Image Analysis: ImageJ Plugins
07:19

Clock Scan Protocol for Image Analysis: ImageJ Plugins

Published on: June 19, 2017

Related Experiment Videos

Last Updated: Jun 13, 2026

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Clock Scan Protocol for Image Analysis: ImageJ Plugins
07:19

Clock Scan Protocol for Image Analysis: ImageJ Plugins

Published on: June 19, 2017

Main Results:

  • Experiments demonstrate that the combined approach significantly outperforms methods using individual techniques.
  • The proposed image inpainting algorithm achieves state-of-the-art performance.
  • The integrated model effectively reconstructs damaged image areas.

Conclusions:

  • Combining texture synthesis, geometric PDEs, and pixel coherence in a variational framework enhances inpainting quality.
  • The developed algorithm offers a robust and effective solution for image restoration tasks.
  • This unified approach represents a significant advancement in the field of image inpainting.