自适应图像复原模型梯度阈值选取研究

The research of gradient threshold parameter selection to improved adaptive image restoration model

自适应图像复原模型,能满足中高噪声强度下进行图像复原的要求,但在选取图像梯度阈值时,通过交互迭代,运算量大,耗费时间长。本文基于对图像边缘灰度突变特性的考虑,通过引入图像梯度幅值直方图的方法,利用像素点梯度模值来区分边缘区和平滑区,开辟了在图像复原中选取梯度阈值参数的新途径,取得了很好的降噪复原效果,而且,选取梯度阈值的过程,耗时少,运算简单,选取过程直观快捷。

The Improved adaptive image restoration model based on total variation is Adapted to the high noise level requirements under the image restoration;However,when the gradient threshold selection by interactive iteration,computing capacity,time-consuming.through the introduction of image gradient histogram method,This article distinguishes the marginal zone and the smooth area,opening up a gradient threshold parameters selection for new ways.