An Effective Method of High-Intensity Mixed Noise Filtering for Images

Intersecting cortical model(ICM) is only capable of filtering images with only one single type of noise.In order to extend the application of ICM in image denoising,ICM neurons' connection is re-designed.In our work,the thought of Bilateral Filtering is introduced together with extending the connecting input of neurons.By considering the linking-weight,designing a real-time pulse threshold function and a pixel renewal rule,a new Neighborhood-Linking ICM is proposed in this paper.Experiments show that the proposed ICM-based filtering method is fast and effective for removing the impulse noises mixed with additional Gaussian noises.