However, due to the use of smooth prior image model in MAP, the reconstructed edges and some image details are blurred.
但由于目前在MAP算法中普遍采用的是平滑型图像先验模型，导致重构出来的图像边界不明锐，一些细节不清晰。
Gibbs distribution is a popular prior model widely used in Bayesian segmentation due to its excellent property describing the spatial information of image.
吉伯斯分布作为一种引入图像空间信息的先验模型已广泛运用于贝叶斯图像分割中。
Two shearlet-based denoising methods using trivariate prior model are proposed for image denoising. The dependency among shearlet coefficients is analyzed via mutual information.
针对图像去噪问题，提出了两种基于三变量模型的剪切波去噪方法。 首先利用互信息对剪切波系数间的依赖关系进行量化分析；
Two shearlet-based denoising methods using trivariate prior model are proposed for image denoising. The dependency among shearlet coefficients is analyzed via mutual information.
针对图像去噪问题，提出了两种基于三变量模型的剪切波去噪方法。 首先利用互信息对剪切波系数间的依赖关系进行量化分析；
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