Denoising of salt-and-pepper noise corrupted image using modified directional-weighted-median filter

Authors:
Ching-Ta Lu;Tzu-Chun Chou
Affiliations:
Department of Information Communication, Asia University, Taichung 41354, Taiwan, ROC;Department of Information Communication, Asia University, Taichung 41354, Taiwan, ROC
Venue:
Pattern Recognition Letters
Year:
2012

Citing 4
Cited 2

Detail-preserving median based filters in image processing

Pattern Recognition Letters
Tri-state median filter for image denoising

IEEE Transactions on Image Processing
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization

IEEE Transactions on Image Processing
Adaptive median filters: new algorithms and results

IEEE Transactions on Image Processing

Salt and pepper noise filtering with fuzzy-cellular automata

Computers and Electrical Engineering
Modified directional weighted filter for removal of salt & pepper noise

Pattern Recognition Letters

Quantified Score

Hi-index	0.10

Visualization

Abstract

Many denoising algorithms have been proposed to recover a noise corrupted image. However, most of them cannot well recover a heavy noise corrupted image with noise density above 70%. In this Letter, we propose a new approach to efficiently remove background noise by detecting and modifying noisy pixels in an image. If the center pixel of a local window is classified to noisy, this center pixel is replaced by a weighted median value on an optimum direction, enabling impulse noise to be removed. Conversely, the center pixel is kept unchanged when it is classified to noise-free, yielding the quality of restored image being well maintained. Experimental results show that the proposed approach cannot only efficiently suppress high-density impulse noise, but also can well preserve the detailed information of an image.