An Efficient Pre-Processing Algorithm for Removing Uniform Noise Based on Cluster Method

Abstract:

An efficient pre-processing algorithm for removing uniform noise is proposed. Local image statistic information and human visual perception are used to classify the pixels in the filter window. According to the elements number of each cluster, all pixels are divided to noise-free clusters or fuzzy clusters. Through cluster method, almost all noise pixels are identified and then restored. Finally, we choose some commonly used filters to test our algorithm. The experimental results tell that our approach can enhance those filters’ capability of suppressing impulse noise effectively. Due to the proposed algorithm can decrease the noise density effectually and keep image details, it can be introduced into many existing uniform noise filtering techniques.

• Periodical: Advanced Materials Research (Volumes 631-632)
• Pages: 1416-1422
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.631-632.1416
• Online since: January 2013
• Authors: Xiao Guo Zhang, Zhu Zhu, Li Guo Shuai, Qing Wang
• Keywords: Human Visual Perception, Image Processing, Image Statistic, Uniform Noise

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