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

A fast algorithm for designing stack filters.

J Yoo1, K L Fong, J J Huang

  • 1Dept. of Electr. and Comput. Eng., Purdue Univ., West Lafayette, IN 47907-1285, USA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 13, 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

First Detection of Ultrahigh Energy Emission from Gamma-Ray Binary LS I +61° 303.

Physical review letters·2026
Same author

Preclinical characterization and phase I results of TQB2102, a first-in-class HER2 biparatopic antibody-drug conjugate, in patients with advanced solid tumors.

Annals of oncology : official journal of the European Society for Medical Oncology·2026
Same author

Evidence of Cosmic-Ray Acceleration up to Sub-PeV Energies in the Supernova Remnant IC 443.

Physical review letters·2026
Same author

Precise Measurement of the Cosmic Ray Helium Spectrum above 0.1 PeV.

Physical review letters·2026
Same author

All-Sky Search for Individual Primordial Black Hole Bursts with LHAASO.

Physical review letters·2025
Same author

[Analysis of factors affecting the progression of visual field defects in patients with myopia and primary open-angle glaucoma].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology·2024
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

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

A new adaptive algorithm significantly speeds up the design of stack filters, enabling larger window sizes for improved signal restoration. This faster method is efficient and easily implemented for practical applications.

Area of Science:

  • Digital Signal Processing
  • Nonlinear Filter Design

Background:

  • Stack filters offer excellent signal restoration capabilities.
  • Current stack filter design algorithms are limited to small window sizes due to computational complexity and serial processing.

Purpose of the Study:

  • To introduce a novel adaptive algorithm for designing stack filters.
  • To minimize the mean absolute error criterion for optimal filter performance.

Main Methods:

  • Developed an iterative adaptive algorithm that reduces convergence time.
  • Compared the new algorithm against existing methods based on filter performance and algorithmic complexity.
  • Demonstrated parallel implementation capabilities.

Main Results:

Related Experiment Videos

  • The new algorithm converges faster than all existing stack filter design algorithms.
  • Enables the design of filters with windows of 20 or more points on standard workstations.
  • Successfully designed cascaded stack filters with 72-point windows in minutes.

    • Conclusions:

    • The presented adaptive algorithm is faster, simpler, and more efficient for designing stack filters.
    • It overcomes previous limitations on window size, allowing for more complex signal restoration tasks.
    • The algorithm's parallel structure facilitates high-speed implementations on parallel computing systems.