On impulse noise removal in color images

The failure of well-developed techniques for grey-level scalar images when directly applied to remove impulse noise with median filters in color vector images is illustrated. Pertinent criteria to remove noise in color images with median filters and reconstruct the perceptually optimum output of the...

Full description

Saved in:
Bibliographic Details
Published inProceedings. 1991 IEEE International Conference on Robotics and Automation pp. 144 - 149 vol.1
Main Authors Valavanis, K.P., Zheng, J., Gauch, J.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1991
Subjects
Colored noise
Computer vision
Filters
Humans
Image analysis
Image color analysis
Image reconstruction
Image resolution
Noise level
Pixel
Online AccessGet full text

Cover

More Information
Summary:The failure of well-developed techniques for grey-level scalar images when directly applied to remove impulse noise with median filters in color vector images is illustrated. Pertinent criteria to remove noise in color images with median filters and reconstruct the perceptually optimum output of the median filters are derived and justified. The experiments demonstrate noise suppression and minimization of color distortion.< >
ISBN:081862163X
9780818621635
DOI:10.1109/ROBOT.1991.131569