摘要
针对传统的线性插值算法存在的边缘模糊问题,本文提出一种新算法。首先采用距离平方反比的插值方法在插值点邻域内计算水平、垂直和对角三个方向共6个插值,然后以插值距离和方向梯度构造权重,进行数据融合获得最终插值。该算法既考虑了插值距离因素,又考虑了插值方向梯度信息,有效地保护插值图像的边缘和纹理信息。实验结果表明,该算法的插值图像比传统的双线性插值法均方误差降低而平均梯度增加,是一种提高插值图像分辨率的有效方法。
To solve the problem of blurry edge in traditional linear interpolation algorithm, an improved algorithm is proposed. Firstly, we compute six interpolations of horizontal, vertical and diagonal direction with inverse distance square approaches in the neighborhood of the interpolation point, and then we define weighting factors with interpolation distance and direction gradient. Finally, we get the final interpolation by data fusion. Considering both the distance of interpolation and the direction gradient, the information of the edge and the texture of the original image are both effectively protected in this method. Results show that compared with the traditional bilinear interpolation approaches, the new one makes the mean squared error decrease, while the average gradient increases, which is effective to improve image resolution.
出处
《光电工程》
CAS
CSCD
北大核心
2010年第2期103-107,共5页
Opto-Electronic Engineering
关键词
图像插值
插值距离
方向梯度
数据融合
image interpolation
interpolation distance
direction gradient
data fusion
