Representation and Recovery of Discontiniuties in Some Image Processing Problems

这项建议涉及的是追回财产的一般问题， 图像处理问题中的不连续性 恢复，边缘检测和表面插值从稀疏 深度数据它建议使用一个自然的概括， 处理任意实值的基本Geman和Geman线过程 方向和大小，以及Besag的方法， 伪似然方法估计参数。

This proposal deals with the general problem of recovery of discontinuities in image processing problems such as image restoration, edge detection, and surface interpolation from sparse depth data. It proposes to use a natural generalization of the basic Geman and Geman line process to handle arbitrary real-valued directions and magnitudes, and methods such Besag's pseudo-likelihood methods to estimate parameters.