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
改进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。
he 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.
张文博、王光辉、李红信、赵焕兴
电子技术应用计算技术、计算机技术
图像复原自适应全变分模型梯度阈值改进型自适应图像复原模型
Image RestorationAdaptive Total Variational ModelGradient ThresholdImproved Adaptive Image Restoration Model
张文博,王光辉,李红信,赵焕兴.自适应图像复原模型梯度阈值选取研究[EB/OL].(2010-12-23)[2025-08-17].http://www.paper.edu.cn/releasepaper/content/201012-944.点此复制
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