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

Edge-forming methods for color image zooming.

Youngjoon Cha1, Seongjai Kim

  • 1Department of Applied Mathematics, Sejong University, Seoul 143-747, Korea. yjcha@sejong.ac.kr

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|August 12, 2006
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

Accurate and efficient numerical solutions for elliptic obstacle problems.

Journal of inequalities and applications·2017
Same author

Curvature interpolation method for image zooming.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2011
Same author

The error-amended sharp edge (EASE) scheme for image zooming.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2007
Same author

PDE-based image restoration: a hybrid model and color image denoising.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2006

This study presents an edge-forming method to enhance image zooming, reducing blur and checkerboard artifacts. The novel approach uses nonlinear partial differential equations for clear edge formation in interpolated images.

Area of Science:

  • Computer Vision
  • Image Processing
  • Numerical Analysis

Background:

  • Image interpolation often introduces artifacts like blur and checkerboard effects.
  • Standard interpolation methods struggle with preserving image details during magnification.

Purpose of the Study:

  • To introduce an effective edge-forming scheme for color image zooming.
  • To mitigate artifacts commonly seen in image interpolation processes.

Main Methods:

  • An edge-forming postprocessing technique based on nonconvex nonlinear partial differential equations.
  • Discretization of equations using anisotropic diffusion numerical schemes.
  • Efficient simulation via the alternating direction implicit (ADI) method.

Main Results:

Related Experiment Videos

  • The proposed method successfully reduces image blur and checkerboard artifacts.
  • Reliable and clear edge formation is achieved in interpolated images.
  • The algorithm demonstrates effectiveness and reliability across various magnification factors.

Conclusions:

  • The edge-forming scheme offers a robust solution for artifact reduction in image zooming.
  • The ADI method enables efficient and rapid edge formation within 2-3 iterations.
  • This technique significantly improves the quality of zoomed color images.