Multi-Channel Image Noise Filter based on PCNN

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.