Conditional fuzzy cluster filter for color image enhancement under the mixed color noise 


Vol. 6,  No. 12, pp. 3718-3726, Dec.  1999
10.3745/KIPSTE.1999.6.12.3718


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  Abstract

Color image is more effective than gray one in human visual perception. Therefore, color image processing becomes important area. Color images are often corrupted by noises due to the input sensor, channel transmission errors and so on. Some filtering techniques such as vector median, mean filter, and vector %u03B1-trimmed mean filter have been used for color noise removal. Among them, vector %u03B1-trimmed mean filter gave the best performance in the mixed color noise. But, there are edge shift and blurring effect because vector %u03B1-trimmed mean filter is uniformly processed across the image. So, we proposed a conditional fuzzy cluster filter to improve this problems. Simulation results showed that the proposed scheme improves the NCD measure and visual quality over the conventional vector %u03B1-trimmed mean filter in the mixed color noise.

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[IEEE Style]

K. B. Eum, S. W. Han, J. W. Lee, "Conditional fuzzy cluster filter for color image enhancement under the mixed color noise," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 12, pp. 3718-3726, 1999. DOI: 10.3745/KIPSTE.1999.6.12.3718.

[ACM Style]

Kyoung Bae Eum, Seo Won Han, and Joon Whoan Lee. 1999. Conditional fuzzy cluster filter for color image enhancement under the mixed color noise. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 12, (1999), 3718-3726. DOI: 10.3745/KIPSTE.1999.6.12.3718.

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