摘要
非抽样Contourlet(NSCT)是一种具有平移不变特性的Contourlet变换,能更好地表示图像几何纹理信息。本文提出了一种在非抽样Contoulet域下基于域分层噪声估计的,采用Bayes自适应阀值计算和硬阀值去噪相结合的的综合图像去噪算法。实验结果表明,该方法改善了噪声图像的去噪效果,保存了图像中更多有效信息,性能和视觉效果均优于其他同类算法。
The non-subsampled Contourlet transform (NSCT), which is a shift-invariant version of the Contourlet transform,could capture the intrinsic geometrical structure of image. This paper proposes a Nonsubsampled Contourlet domain image denoising integrated approach based on stratified noise estimates and adaptive Bayes threshold with hard-thresholding ruetion. Experiments resluts shows that the mathod can improve the denoised image performance, reseving more effective information of image and having better performance and visual effect than similar arithmetics.
出处
《微计算机信息》
2009年第28期118-120,共3页
Control & Automation
基金
基金申请人:严佩敏
项目名称:项目名称不公开
基金颁发部门:上海航天技术研究院(航天局)(基金编号不公开)