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 Videos

An image morphing technique based on optimal mass preserving mapping.

Lei Zhu1, Yan Yang, Steven Haker

  • 1Department of Biomedical Engineering and the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA. zlzl@ece.gatech.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|June 6, 2007
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

Age-dependent brain responses to mechanical stress determine resilience in a chronic lymphatic drainage impairment model.

The Journal of clinical investigation·2025
Same author

Divergent brain solute clearance in rat models of cerebral amyloid angiopathy and Alzheimer's disease.

iScience·2024
Same author

An effective and open source interactive 3D medical image segmentation solution.

Scientific reports·2024
Same author

Mapping the Single-Cell Differentiation Landscape of Osteosarcoma.

Clinical cancer research : an official journal of the American Association for Cancer Research·2024
Same author

Gene interaction network analysis in multiple myeloma detects complex immune dysregulation associated with shorter survival.

Blood cancer journal·2023
Same author

Author Correction: Cerebral amyloid angiopathy is associated with glymphatic transport reduction and time-delayed solute drainage along the neck arteries.

Nature aging·2023
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
Same journal

GoP-based Quality Enhancement on Video Compression.

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

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

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

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

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

This study introduces a novel image morphing algorithm using optimal mass transport to smoothly transform one image into another. The method reduces visual artifacts like double exposure without requiring manual parameter tuning.

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Mathematics

Background:

  • Image morphing involves transforming one image into another over time.
  • Existing methods can suffer from visual artifacts such as double exposure.
  • Parameter-free approaches are desirable for simplifying the morphing process.

Purpose of the Study:

  • To propose a new class of image morphing algorithms.
  • To reduce the double exposure effect in image metamorphosis.
  • To extend morphing techniques to complex, doubly connected domains.

Main Methods:

  • Utilizing the theory of optimal mass transport.
  • Modifying the L(2) mass moving energy functional with an intensity penalizing term.
  • Employing an iterative gradient descent approach to compute the optimal warping function.

Related Experiment Videos

  • Extending the method to doubly connected domains via harmonic parameterization and finite-element methods.

    • Main Results:

    • A parameter-free, intensity-based image morphing algorithm is presented.
    • The proposed method effectively reduces the double exposure artifact.
    • The algorithm demonstrates applicability to complex geometric domains.

    Conclusions:

    • The novel optimal mass transport-based morphing approach offers an effective solution for image metamorphosis.
    • The intensity penalizing term significantly improves visual quality by mitigating double exposure.
    • The extension to doubly connected domains broadens the applicability of the technique.