摘要: 提出一种基于金字塔对偶树方向滤波器组(PDTDFB)分解系数模的HMT模型,该模型结合PDTDFB理论、复数的模和HMT的特点,利用PDTDFB对图像分解后复系数的模建立HMT模型,由EM算法训练模型获得去噪后的模,恢复复系数、重构图像。实验结果证实,与其他几种典型的去噪算法定性比较,该模型去噪效果有不同程度的提高,更好地保留了图像的边缘信息。
关键词:
金字塔对偶树方向滤波器组,
隐马尔可夫树模型,
图像去噪
Abstract: This paper presents an HMT model based on the module of the coefficient in Pyramidal Dual-Tree Directional Filter Bank(PDTDFB). The features of the PDTDFB theory, the module of the complex coefficient and the HMT are combined in this model. The HMT model based on the module of the complex coefficient obtained by PDTDFB decomposition is established. It trains the model by the EM algorithm to denoise and obtain the module, and restores the complex coefficient and reconstructing image. Compared with the other typical denoising methods, experimental results demonstrate that the effects raise in different degrees in image denoising, especially in edge maintenance aspect.
Key words:
Pyramidal Dual-Tree Directional Filter Bank(PDTDFB),
Hidden Markov Tree(HMT) model,
image denoising
中图分类号:
尚赵伟, 张峰, 马尚君, 朱贝贝, 国庆. 基于复方向滤波器组和HMT的图像去噪[J]. 计算机工程, 2010, 36(14): 177-178.
CHANG Diao-Wei, ZHANG Feng, MA Chang-Jun, SHU Bei-Bei, GUO Qiang. Image Denoising Based on Complex Directional Filter Bank and HMT[J]. Computer Engineering, 2010, 36(14): 177-178.