节点文献
基于统一的变分模型的有噪图像放大算法
Noisy Image Magnification Based on A Unified Variation Model
【Author】 Shujun Fu~(1,2) Qiuqi Ruan~1 Wenqia Wang~2 (1.Informatoin Science Institution,Beijing Jiaotong University,Beijing,100044) (2.School of Mathematics and System Science,Shandong University,Jinan,250100)
【机构】 北京交通大学信息科学研究所; 山东大学数学与系统科学学院;
【摘要】 针对图像放大后边缘模糊的现象,本文考察了典型边缘的特征,利用整体变分思想,提出了一种基于统一的变分模型的有噪图像放大算法.利用导出的偏微分方程和图像边缘的局部梯度信息,本文算法实施一种自适应非线性滤波处理,能够较好地保持图像边缘锐度,同时有效地去除图像噪声.理论分析和实验结果皆表明算法的有效性.
【Abstract】 To deblur edges after image magnification,an edge sharpness preserving noisy image magnification simultaneously denoising effectively is put forward,which adopts the idea of total variation model,after having reviewing the character of a typical edge.Utilizing the deduced partial differential equation and local gradients of edges,our algorithm implements an adoptive non- linear filter process.Both theoretical analysis and experiments have verified the efficiency of our algorithm in this paper.
【Key words】 image magnification; variation model; partial differ- enttial equations; edge sharpness; interpolation;
- 【会议录名称】 几何设计与计算的新进展
- 【会议名称】第二届全国几何设计与计算学术会议
- 【会议时间】2005-04-16
- 【会议地点】中国安徽合肥;中国安徽黄山
- 【分类号】TP391.41
- 【主办单位】中国工业与应用数学学会几何设计与计算专业委员会