【摘要】 针对高斯噪声图像滤波问题,提出一种可以保留细节的自适应Volterra-Volterra滤波方法。为了解决二阶Volterra滤波器核系数确定难、数量多等问题,提出了一种自适应建核结构及算法。通过图像处理实验,与其它滤波算法进行了细节度保留、均方差(MSE)和信噪比(SNR)等指标的比较,结果表明,本文方法优于进行对比的其它滤波方法。更多还原

【Abstract】 An adaptive Volterra filter algorithm is presented to remove Gaussian noise from an image while preserving the details.In order to resolve the problems in Volterra kernels′ estimating,an adaptive algorithm for the Volterra filter with first and second order coefficients is proposed.The simulation denoising results show that the proposed algorithm outperforms the other filters.更多还原