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

Coherent multiscale image processing using dual-tree quaternion wavelets.

Wai Lam Chan1, Hyeokho Choi, Richard G Baraniuk

  • 1Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA. wailam@rice.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|July 1, 2008
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

The Success Rate of Hong Kong Chinese Women with Pelvic Organ Prolapse in Pessary Self-Management: a Multi-Centered Prospective Study.

International urogynecology journal·2026
Same author

DeepTensor: Low-Rank Tensor Decomposition With Deep Network Priors.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

Expanded Multiplexing on Sensor-Constrained Microfluidic Partitioning Systems.

Analytical chemistry·2023
Same author

Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust.

IEEE transactions on neural networks and learning systems·2023
Same author

Extreme Compressed Sensing of Poisson Rates from Multiple Measurements.

IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society·2022
Same author

Minipatch Learning as Implicit Ridge-Like Regularization.

... International Conference on Big Data and Smart Computing. International Conference on Big Data and Smart Computing·2021
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

The dual-tree quaternion wavelet transform (QWT) offers a novel approach to image analysis, effectively capturing geometric features and texture. This method enables precise estimation of local image structure and disparity for applications like image registration.

Area of Science:

  • Image processing and computer vision
  • Multiscale analysis
  • Geometric feature extraction

Background:

  • The dual-tree quaternion wavelet transform (QWT) is a recent advancement in multiscale analysis.
  • It provides a near shift-invariant representation for geometric image features.
  • QWT coefficients contain magnitude and phase information crucial for image analysis.

Purpose of the Study:

  • To introduce and demonstrate the capabilities of the QWT for image analysis.
  • To develop an efficient method for estimating local image geometry using QWT.
  • To create a novel multiscale algorithm for image disparity estimation.

Main Methods:

  • Utilizing the dual-tree quaternion wavelet transform (QWT) for multiscale analysis.
  • Developing an efficient procedure for local geometrical structure estimation.

Related Experiment Videos

  • Implementing a multiscale phase unwrapping algorithm for disparity estimation.

    • Main Results:

    • The QWT effectively separates local image shifts and texture information.
    • An accurate procedure for estimating local image geometry was developed.
    • A new multiscale algorithm for disparity estimation achieved sub-pixel accuracy.

    Conclusions:

    • The QWT is a powerful tool for analyzing geometric image features and texture.
    • The developed algorithms show promise for image registration and flow estimation.
    • QWT-based methods offer linear complexity and high accuracy in image analysis tasks.