Vector median filter for removal of impulse noise from color images

Authors:
Kh. Manglem Singh;Prabin K. Bora;S. Birendra Singh
Affiliations:
Department of Electronics and Communication Engineering, Indian Institute of Technology, Guwahati, India;Department of Electronics and Communication Engineering, Indian Institute of Technology, Guwahati, India;DOEACC CENTRE, Imphal, India
Venue:
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Year:
2003

Citing 7
Cited 1

Detail-preserving median based filters in image processing

Pattern Recognition Letters
Color image processing and applications

Color image processing and applications
The weighted median filter

Communications of the ACM
Combining vector median and vector directional filters: the directional-distance filters

ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Adaptively weighted vector-median filters for motion-fields smoothing

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
A new efficient approach for the removal of impulse noise from highly corrupted images

IEEE Transactions on Image Processing
Nonlinear multivariate image filtering techniques

IEEE Transactions on Image Processing

Detail-preserving image information restoration guided by SVM based noise mapping

Digital Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a vector median filter that incorporates mechanism for the detection of impulses from color images. The vector pixels in a specified window is ranked on the basis of sum of the distances to other vector pixels in the window. The center vector pixel is declared as corrupted if its rank is bigger than a predefined rank and its distance from a nearby healthy vector pixel is bigger than a pre-defined threshold. The corrupted vector pixel is replaced by the vector median. The experimental results show the better performance of the proposed method than a number of existing schemes for color images corrupted by high percentage of fixed-valued and random-valued impulse noises.