Universal Filter Array with Memristive Crossbar

This study explores the integration of memristor crossbar as filter arrays for image processing applications exploit the various filtering techniques. Memristor crossbar arrays offer a promising platform for parallel processing and efficient implementation of filtering operations due to their dense and scalable architecture. Configuring each column in the crossbar array to act as a filter, it becomes possible to perform multiple filtering operations simultaneously on input images. This research investigates the feasibility and performance of utilizing memristor crossbar arrays as filter arrays with different filter structures and random dropouts in image processing. This analysis focusing on the potential of memristor based reconfigurable filter arrays in advancing the field of image processing,