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Application of the adaptive noise removal technique to the enhancement of cDNA microarray images

Smolka B., Bieda R.

Journal of Medical Informatics & Technologies

2005

Vol. 9

131--142

In this paper a novel class of filters designed for the removal of impulsive noise in colour images is presented. The proposed filter family is based on the kernel function which controls the noise suppression properties of the new filtering scheme. The comparison of the new filtering method with the standard techniques used for impulsive noise removal indicates its superior noise removal capabilities and excellent structure preserving properties. The proposed filtering scheme has been successfully applied to the denoising of the cDNA microarray images. Experimental results proved that the new filter is capable of removing efficiently the impulses present in multichannel images, while preserving their textural features.

Nonparametric design of impulsive noise removal in colour images

Smolka B., Budzan S., Lukač R.

Journal of Medical Informatics & Technologies

2004

Vol. 7

MIP3--12

In this paper the problem of nonparametric impulsive noise removal in multichannel images is addressed. The proposed filter class is based on the nonparametric estimation of the density probability function in a sliding filter window. The obtained results show good noise removal capabilities and excellent structure preserving properties of the new impulsive noise removal technique.