A study on adaptive weighted median filter using edge information


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 10, pp. 2830-2837, Oct. 1999
10.3745/KIPSTE.1999.6.10.2830,   PDF Download:

Abstract

Image processing steps are consist of image acquisition, processing, region, segmentation and recognition. But image corrupted commonly by noise during data transmission. In noise reduction methods, many filters were proposed like mean filter, median filter, weighted median filter, Cheikh filter, and Kyu-cheol Ice filter as spatial noise reduction filtering. We propose a new edge detection algorithm so that we find out edge existence and nonexistence. In non edge area, we selectively apply weighted median filter based upon using information of difference value between weighted median filter's value and center pixel's value. As a result, we finally prove a better performance of noise reduction by applying adaptive weighted median filter and improvement of processing time through using simple algorithm.


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Cite this article
[IEEE Style]
L. Y. Whan and P. J. Chun, "A study on adaptive weighted median filter using edge information," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 10, pp. 2830-2837, 1999. DOI: 10.3745/KIPSTE.1999.6.10.2830.

[ACM Style]
Lee Yong Whan and Park Jang Chun. 1999. A study on adaptive weighted median filter using edge information. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 10, (1999), 2830-2837. DOI: 10.3745/KIPSTE.1999.6.10.2830.