摘要
传统插值算法放大后的图像产生细节模糊和边缘锯齿化,为此提出一种基于边缘检测的多方向模糊消除算法。采用双通道方式,边缘检测原图像,提取放大后的图像边缘信息,根据多方向边缘梯度变化,对边缘邻接像素点优化;多倍放大时采取小倍率递进方式实现。实验证明,算法模型简单易于实现,对提高图像质量取得了明显的效果。
The image magnified by traditional interpolation algorithm has detail blurring and edge serrulation. A multi-direction image deblurring algorithm based on edge detection against this was proposed in the paper. This novel algorithm employed edge detection on image in double-channel way and picked up magnified image edge information to optimize the edge neighbouring pixels based on multi-direction gradient variety. The magnification of image was implemented in small rate progression. The experiment shown that the algorithm model is simple and easy to implement, and has clear effect on improving the equality of images.
出处
《计算机应用与软件》
CSCD
2009年第6期249-252,共4页
Computer Applications and Software
关键词
图像插值
放大
边缘检测
消除模糊
Image interpolation Magnification Edge detection Deblurring
