• Home
  • About
    • Dr. Panetta
    • Contact
  • Research
    • Research Topics
    • Lab Members
    • Patents
    • Download
  • Publications
    • Journal Articles
    • Book Chapters
    • Books
    • Conference Papers
    • Magazine Articles
    • Newspaper Articles
  • Professional
    • IEEE
    • SPIE
    • SWE
  • Media
    • News
    • Events
    • Video
  • Teaching
  • Blog

Karen Panetta

  • Home
  • About
    • Dr. Panetta
    • Contact
  • Research
    • Research Topics
    • Lab Members
    • Patents
    • Download
  • Publications
    • Journal Articles
    • Book Chapters
    • Books
    • Conference Papers
    • Magazine Articles
    • Newspaper Articles
  • Professional
    • IEEE
    • SPIE
    • SWE
  • Media
    • News
    • Events
    • Video
  • Teaching
  • Blog

A New Unified Impulse Noise Removal Algorithm Using a New Reference Sequence-to-Sequence Similarity Detector


June 25, 2018
by Karen Panetta

K. Panetta, L. Bao and S. Agaian, IEEE Access, vol. 6, pp. 37225-37236, 2018.

Posted in 2018, journal article
and
tagged with image denoising, image resolution, impulse noise, median filter, cascade framework, RSSS-I, noisy pixels, similarity property, reference sequence-to-sequence similarity impulse noise detecto, RSSS detector, unified image denoising algorithm, extreme median filter, directional mean filter, domain filter, pixels similarity, blocks similarity, unified impulse noise removal algorithm, weighted median filter, Noise measurement, Detectors, Filtering algorithms, Image edge detection, Image reconstruction, Information filtering, Image denoising
Source
Newer
Older
Top

Twitter

apex Awards for Publication Excellence
IEEE: Advancing Technology for Humanity
Nerd Girls
IEEE Women in Engineering

  • © 2015 - Karen Panetta
  • Designed and developed by ScienceSites: websites for scientists