Earticle

초록

영어

A new switching median filter is proposed for denoising of gray-scale images, extremely corrupted by salt-and-pepper noise. The proposed model for noise removal is a multiscale detection based adaptive median filter. This method consists of mainly two parts, namely, the thresholding based multiscale noise detection and the filtering. The detection of impulse noise is carried out in two stages. First, multiscale filtering of the corrupted image is carried out using Gaussian kernels at different scales and errors between the original and the filtered images at different scales are obtained. In the next stage, the errors at different scales are added and then thresholded to detect the impulse noise. The filtering of impulses, detected in the first stage of the proposed filter, is finally carried out using an adaptive median filter. Incorporation of a multiscale method into the noise detection stage followed by thresholding has led to more reliable and efficient impulse noise detection, especially, at high noise ratios. To validate the efficacy of proposed scheme, extensive simulations and comparisons are done with the competent schemes under a wide range (10% to 90%) of noise densities. The results show that the proposed scheme works much better in suppressing high level noise than other schemes, keeping the edges and fine details of the original image almost intact.

목차

Abstract
 1. Introduction
 2. Noise Model
 3. Image Quality Metrics
  3.1. Impulse Detection Performance Metrics
  3.2. Filtering Performance Metrics
 4. Proposed Method
  4.1. Impulse Noise Detection
  4.2. Filtering by Estimation of True value
  4.2. Selection of T
 5. Experimental Results
 6. Conclusion
 References

키워드

저자

• Bhabesh Deka [ Electronics and Communication Engineering, Tezpur Central University ]
• Sangita Choudhury [ Electronics and Communication Engineering, Tezpur Central University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605