首页 / 资料库 / 文献详情

非下采样Contourlet HMT模型

PeiGen NI、Xin Su、ChuanMing SONG、XiangHai WANG、LingLing FANG

2013Scientia Sinica InformationisEngineering被引 2开放获取

摘要

The non-subsampled Contourlet transform (NSCT) has not only characteristics of multi-scale, multidirection and anisotropy, like traditional wavelet transform and Contourlet transform, but also the good characteristics of shift-invariant. We draw the conclusion that the directional subband coefficients also have persistence and aggregation through studying the coefficients of the NSCT. On the basis of HMT, we establish a novel non-subsampled Contourlet transform domain hidden Markov tree model, NSCT-HMT, and give the parameters structure of the model as well as the training method of the model parameters. Finally, we apply the proposed model to image denoising, and achieve a good simulation effect.

引用本文（GB/T 7714）

DOI：https://doi.org/10.1360/112012-584