A NEW METHOD OF IMAGE COMPRESSION BASED ON QUANTUM NEURAL NETWORK

摘要：

In this paper we combine with quantum neural networks and image compression using Quantum Gates as the basic unit of quantum computing neuron model, and establish a three layer Quantum Back Propagation Network model, then the model is used for realizing image compression and reconstruction. Since the initial weights of neural networks were slow convergence, we use Genetic Algorithm (GA) to optimize the neural network weights, and present a mechanism called clamping to improve the genetic algorithm. Finally, we combined the Genetic Algorithm with quantum neural networks to finish image compression. Through an experiment we can see the superiority of the improved algorithm.

关键词： Genetic Algorithm Quantum Neural Networks Mutational Clamping Image Compression

作者: LI Huifang LI Mo

作者单位: School of Electronic Information Northwestern Polytechnical University Xian 710072 China School of Electronic Information Northwestern Polytechnical University Xian 710129 China

会议类型: 国际会议

会议名称: 2010 International Conference of Informationa Science and Management Engineering(2010年信息科学与管理工程国际学术会议 ISME 2010)

会议地点: 西安

会议语种:英文

页码: 567-570

在线出版日期: 2010-08-07（万方平台首次上网日期，不代表论文的发表时间）