Published June 1984
| public
Journal Article
Application of two-dimensional generalized mean filtering for removal of impulse noises from images
Abstract
A new method for removing impulse noises from images is proposed. The filtering scheme is based on replacing the central pixel value by the generalized mean value of all pixels inside a sliding window. The concepts of thresholding and complementation which are shown to improve the performance of the generalized mean filter are introduced. The threshold is derived using a statistical theory. The actual performance of the proposed filter is compared with that of file commonly used median filter by filtering noise corrupted real images. The hardware complexity of the two types of filters are also compared indicating the advantages of the generalized mean filter.
Additional Information
© 1984 IEEE. Manuscript received July 28, 1983; revised November 14, 1983. This work was supported in part by the Lawrence Livermore National Laboratory, University of California, Livermore, CA and in part by the California Space Institute, University of California, San Diego, CA.Additional details
- Eprint ID
- 32281
- Resolver ID
- CaltechAUTHORS:20120706-114737884
- Lawrence Livermore National Laboratory
- California Space Institute
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2012-07-06Created from EPrint's datestamp field
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2021-11-09Created from EPrint's last_modified field