【摘要】 以小波变换为基础,针对小波分解后高频域和低频域的特点,分别在低频域采用基于PCNN(脉冲耦合神经网络)的融合方法,在高频域采用改进的PCNN融合算法.仿真图像和评价指标结果显示:改进的PCNN融合算法,有效地提高了图像在边缘、纹理、保留更多源图像信息等方面的综合性能.更多还原

【Abstract】 In this paper,DWT is used for image decomposition and reconstruction.In terms of the characteristics of the coefficients of DWT,an algorithm based on pulse-coupled neural network(PCNN) is applied in low frequency field,and an improved algorithm based on PCNN is applied in high frequency field.Simulation images and performance evaluation show that the improved algorithm based on PCNN,which is proposed in this paper,can improve comprehensive performance in edge preservation,texture information and preserving information of the primitive images.更多还原