基于四阶偏微分方程的盲图像恢复模型

由于全变分(total variation，TV)正则化方法能够很好地保持边界，因而在图像去噪和恢复中得到广泛的应用，但其一个显著的缺点就是会在恢复出来的图像中产生阶梯效应。针对此问题给出了一种基于四阶偏微分方程(PDE)的盲图像恢复模型，该模型在Chan和Wong的全变分模型的基础上，用四阶范数来代替TV范数，构造了一种新的能量泛函，消除了全变分正则化方法所产生的阶梯效应。实验结果表明，该模型能取得较好的图像恢复效果。

A New Method for Image Blind Restoration Based on Fourth-order PDE

Many of the current methods for image denoising and restoration utilize total variation(TV) regularization to preserve its beneficial edge properties.However a particular caveat of TV regularization is the staircasing phenomenon in recovered images.A new blind restoration model based on a fourth-order partial differential equation(PDE) is proposed for image restoration,which improved the Chan and Wong's TV model.The new method is to introduce fourth-order norm into the energy function instead of TV norm,to ...