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一种新的基于图像边缘的插值算法
引用本文:刘艳琪,罗扬.一种新的基于图像边缘的插值算法[J].数字社区&智能家居,2009,5(5):3470-3471.
作者姓名:刘艳琪  罗扬
作者单位:南华大学计算机科学与技术学院,湖南衡阳421001
摘    要:灰度图像放大时,插值所具有的平滑作用会退化图像的高频部分,使放大图像轮廓变得模糊,该文提出了一种新的图像插值算法.先用一阶微分运算分离出图像的平坦区域和边缘区域,对图像的平坦区域采用双线性插值法,对图像的边缘部分采用本文的插值算法,实验证明该算法有效地保持了边缘信息,得到了视觉信息较好的插值图像。

关 键 词:图像插值  边缘保持  距离密次反比

A New Edge-directed Image Interpolation Algorithm
LIU Yan-qi,LUO Yang.A New Edge-directed Image Interpolation Algorithm[J].Digital Community & Smart Home,2009,5(5):3470-3471.
Authors:LIU Yan-qi  LUO Yang
Affiliation:(College of Computer Science and Technology, University of South China, Hengyang 421001, China)
Abstract:When gray images are magnified,the smoothing effect of gray level interpolation may degrade the fine details in images and make contours become blurred .A new image interpolation algorithm is proposed in this paper ,which is divided by a first-order differential operator and interpolates flat and edge regions respectively. In flat regions the bilinear interpolation is applied,and the interpolation algorithm is employed in edge regions.Experimental results demonstrate that the algorithm not only preserves the edge effectively,but also improve the visual quality of the interpolated images.
Keywords:image interpolation  edge-preserving  inverse distance weighted
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