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

Least-squares image resizing using finite differences.

A Muñoz1, T Blu, M Unser

  • 1Biomed. Imaging Group, Swiss Federal Inst. of Technol., Lausanne. arrate.munoz@epfl.ch

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 8, 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

[Recurrent spontaneous carotid dissection].

Revista de neurologia·2000
Same author

Safety and efficacy of Omniscan (gadodiamide injection) at 0.1 mmol/kg for MRI in infants younger than 6 months of age: phase III open multicenter study.

Investigative radiology·2000
Same author

Percutaneous vertebroplasty: a special syringe for cement injection.

AJNR. American journal of neuroradiology·2000
Same author

OESCLIM: an advanced delivery system for HRT.

Maturitas·2000
Same author

Fenfluramine-induced increase in preproenkephalin mRNA levels in the striatum: interaction between the serotonergic, glutamatergic, and dopaminergic systems.

Synapse (New York, N.Y.)·2000
Same author

Autologous stem cell transplantation for advanced Hodgkin's disease in children. Spanish group for BMT in children (GETMON), Spain.

Bone marrow transplantation·2000
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 an optimal spline-based algorithm for digital image scaling, improving image quality by reducing artifacts and enhancing signal-to-noise ratio. The novel finite difference method offers efficient computation for arbitrary scaling factors.

Area of Science:

  • Digital Image Processing
  • Computational Mathematics
  • Computer Vision

Background:

  • Standard image interpolation methods often introduce artifacts like aliasing and blocking.
  • Arbitrary (noninteger) scaling factors pose challenges for traditional algorithms.
  • Improving signal-to-noise ratio (SNR) is crucial for image quality.

Purpose of the Study:

  • To develop an optimal spline-based algorithm for digital image enlargement and reduction.
  • To address the challenge of arbitrary noninteger scaling factors.
  • To improve image quality by minimizing artifacts and enhancing SNR.

Main Methods:

  • A projection-based approach utilizing a novel finite difference method.
  • Computation of inner products with B-spline basis functions of any degree n.

Related Experiment Videos

  • Algorithm complexity is independent of the scaling factor, ensuring efficiency.

    • Main Results:

    • The spline-based algorithm consistently outperforms standard interpolation procedures.
    • Significant reduction in artifacts such as aliasing and blocking.
    • Substantial improvement in the signal-to-noise ratio.

    Conclusions:

    • The proposed algorithm provides superior image scaling results compared to existing methods.
    • The method is computationally efficient and adaptable to various piecewise polynomial functions.
    • This approach offers a robust solution for high-quality digital image resizing.