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中文摘要：
针对金字塔对偶树方向滤波器组（PDTDFB）系数在尺度间、方向间的相关性和隐马尔可夫树模型（HMT）对这种相关性的有效地统计性的特点。提出了一种关于PDTDFB域系数的双树HMT模型应用于图像去噪。在仿真实验中与其他几种典型的去噪算法作对比，验证了提出的模型在图像去噪性能方面具有一定的优越性，较好地保持了图像的边缘细节信息。
英文摘要：
Based on the dependency of the PDTDFB coefficients across the interscate and interdirection and the statistical properties of HMT for the correlation properties, a new HMT in PDTDFB domain was put forward. Compared with the other typical denoising methods, the experimental results demonstrate that the proposed method shows better performance in image denoising, especially in edge maintenance.
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