The Two-dimensional Quantum Cellular Neural Network and Its Applications to Image Processing
Wu Gang · Research & Progress of SSE Solid State Electronics · 2008
The two-dimensional large-neighborhood quantum cellular neural network(CNN) is proposed by using the quantum cellular automata as neuron cells,with the polarization of a quantum-dot cell and quantum phase as state variables.The proposed quantum cellular neural network can perform the functions of horizontal line detecting,vertical line detecting and image noise removal by using the polarization of quantum-dot cell as pixel value and selecting different cloning templates.The simulation results demonstrate the effectiveness of the proposed quantum cellular neural network.Moreover,compared with the traditional CNN,the quantum cellular neural network possesses the advantages of the simplified interconnection,the extremely high packing densities and the extremely low power consumption.