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自适应图像复原模型梯度阈值选取研究
引用本文:王光辉,李红信,白锋,赵焕兴.自适应图像复原模型梯度阈值选取研究[J].微计算机信息,2011(10).
作者姓名:王光辉  李红信  白锋  赵焕兴
作者单位:兰州大学信息科学与工程学院;总参谋部通信训练基地;
摘    要: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。

关 键 词: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  

The research of gradient threshold parameter selection to improved adaptive image restoration model
WANG Guang-hui LI Hong-xin ZHAO Huan-xing WANG Guang-hui BAI Feng.The research of gradient threshold parameter selection to improved adaptive image restoration model[J].Control & Automation,2011(10).
Authors:WANG Guang-hui LI Hong-xin ZHAO Huan-xing WANG Guang-hui BAI Feng
Affiliation:WANG Guang-hui LI Hong-xin ZHAO Huan-xing(School of Information Science & Engineering,LanZhou University,LanZhou 730000,China) WANG Guang-hui BAI Feng(Communication Trainig Base of General Staff,XuanHua 075100,China)
Abstract: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.
Keywords:Image Restoration  Adaptive Total Variational Model  Gradient Threshold  Improved Adaptive Image Restoration Model  
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