Using Sorted Switching Median Filter to remove high-density impulse noises

  • Authors:

  • Shi-Jinn Horng;Ling-Yuan Hsu;Tianrui Li;Shaojie Qiao;Xun Gong;Hsien-Hsin Chou;Muhammad Khurram Khan

  • Affiliations:

  • School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China and Department of Computer Science and Information Engineering, National Taiwan University of Sci ...;Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan and Department of Information Management, St. Mary's Medicine N ...;School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China;School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China;School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China;Department of Electronic Engineering, National Ilan University, Yilan, Taiwan;Center of Excellence in Information Assurance, King Saud University, Saudi Arabia

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

We propose a novel Sorted Switching Median Filter (i.e. SSMF) for effectively denoising extremely corrupted images while preserving the image details. The center pixel is considered as ''uncorrupted'' or ''corrupted'' noise in the detecting stage. The corrupted pixels that possess more noise-free surroundings will have higher processing priority in the SSMF sorting and filtering stages to rescue the heavily noisy neighbors. Five noise models are considered to assess the performance of the proposed SSMF algorithm. Several extensive simulation results conducted on both grayscale and color images with a wide range (from 10% to 90%) of noise corruption clearly show that the proposed SSMF substantially outperforms all other existing median-based filters.