航空兵器Issue(2)：42-46,5.DOI:10.19297/j.cnki.41-1228/tj.2016.02.008
基于最大后验概率准则的红外图像 NSCT 域去噪方法
Denoising Algorithm Based on the MAP Rule in NSCT Domain for Infrared Image
摘要
Abstract
A NSCT adaptive denoising algorithm based on maximum a posterior ( MAP) with the effect of image enhancement is presented.On the basis of the assumption that the prior distributions of the original image coefficients and the noise coefficients are both Gaussian, the shrinkage factor for NSCT co-efficients is computed by the rule of MAP.Then, the shrinkage factor is revised by considering the factors of scale level and directional energy, which is used in the shrinking process of NSCT coefficients.Final-ly, the denoised and enhanced image could be reconstructed by inverse transformation.The experimental results show that the method given by this paper is much better in performance compared with the wavelet denoising method.关键词
最大后验概率估计/NSCT/降噪/图像增强/比例萎缩Key words
MAP/NSCT/denoising/image enhancement/proportional shrinkage分类
信息技术与安全科学引用本文复制引用
张喜涛,刘刚,周珩..基于最大后验概率准则的红外图像 NSCT 域去噪方法[J].航空兵器,2016,(2):42-46,5.基金项目
航空科学基金项目 （）
