Fast and efficient median filter for removing 1-99% levels of salt-and-pepper noise in images

Authors:
Mu-Hsien Hsieh;Fan-Chieh Cheng;Mon-Chau Shie;Shanq-Jang Ruan
Affiliations:
Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan;Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan;Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan;Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan
Venue:
Engineering Applications of Artificial Intelligence
Year:
2013

Citing 6
Cited 0

An Effective Method for Removing Heavy Salt-and-Pepper Noise

CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 1 - Volume 01
A new adaptive median filtering technique for removal of impulse noise from images

Proceedings of the 2011 International Conference on Communication, Computing & Security
Robust regression for face recognition

Pattern Recognition
A switching median filter with boundary discriminative noise detection for extremely corrupted images

IEEE Transactions on Image Processing
A Split and Merge Based Ellipse Detector With Self-Correcting Capability

IEEE Transactions on Image Processing
Robust Image Watermarking Based on Multiscale Gradient Direction Quantization

IEEE Transactions on Information Forensics and Security

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a new median filter using prior information to capture natural pixels for restoration. In addition to being very efficient in logic execution, the proposed filter restores corrupted images with 1-99% levels of salt-and-pepper impulse noise to satisfactory ones. Without any iteration for noise detection, it intuitively and simply recognizes impulse noises, while keeping the others intact as nonnoises. Depending on different noise ratios at an image, two different sets of masked pixels are employed separately for the adoption of candidates for median finding. Furthermore, no limit to the size of mask windows assures that a proper median can be found. The simple logic of the proposed algorithm achieves significant milestones on the fidelity of a restored image. Moreover, the very fast execution speed of the proposed filter is very suitable for being applied to real-time processing. Relevant experimental results on subjective visualization and objective digital measure are reported to validate the robustness of the proposed filter.