A new efficient image processing circuit based on a nano-scale median filter and quantum-dot cellular automata
Ling Song, Minggong Yu, Yuan Yuan, Cheng Qi, Delin Sun, Shamil Minasov · International Journal of General Systems · 2024
Digital image processing is manipulating and analyzing digital images using computer algorithms to enhance or extract information. Designing a median filter based on QCA offers potential advantages in terms of improved speed and energy efficiency. QCA technology utilizes the unique properties of quantum dots to perform computational tasks, including image processing. This study promotes the use of QCA technology since it is crucial to develop and implement the MF for DIP as it helps reduce noise. The suggested QCA-based MF has a single layer, a few cells, and exceptionally low latency. Comparing the suggested MF's cell consumption and occupied area to its best predecessor reveals 77.67% and 83.50% improvements, respectively. The MF is created using the comparison and selective module (CSM). Finally, each of the suggested architectures is designed and validated using the QCA Designer-E 2.2 simulation and a configuration tool for the Bistable approximation engine.