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摘要
Through analysis of PCNN';s work principle, a noval filtering approach capable of detecting and removing impulsive noise in multi-channel images. The filter detects noise pixels in the image by utilizing PCNN';s specific feature that the fire of one neuron can capture firing of its adjacent neurons due to their spatial proximity and intensity similarity. Then it estimates the noise pixels by a VMF-likely vector filtering. Experimental results show that the proposed filter has excellent performance, and is able to preserve fine details while suppressing impulsive noise.
- 出版日期2012
- 单位中南大学
