cellular automata-based denoising techniques

Cellular automata-based denoising techniques refer to computational methods that use cellular automata models to reduce noise or unwanted disturbances in data or images. These techniques utilize the principles of cellular automata, which are mathematical models consisting of simple units called cells that interact with each other based on predefined rules. By applying these rules iteratively, cellular automata-based denoising techniques aim to filter out noise and enhance the quality of the data or image being processed.

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