Real-time Image Noise Cancellation Based on Fuzzy Similarity

We propose a new filter structure for the reduction of mixed noise in images. It is based on the evaluation of fuzzy similarities between pixels in a local processing window and is suitable for high-speed hardware implementation. The filter involves two tunable parameters and is fairly robust against changes in noise distribution. Furthermore, we outline a modular hardware architecture for general high-speed image processing tasks.

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