通过将图像分为非边缘部分和边缘部分，得出了一种基于图像边缘信息的图像插值算法。
An image interpolation algorithm based on image edge information can be elicited from dividing image into no-edge areas and edge areas.
实验表明，动态中值滤波可以显著减少图像噪声，同时又保留了大部分的图像边缘信息。
Results showed that the noises of an image of marker-line for road were significantly decreased and most of edge information of the marker-line was remained after the adjustable median tilting.
如何有效地增强图像边缘信息，消除图像的噪声是图像处理和计算机视觉研究中的基本问题。
Enhance edges of images efficiently and removal noises in images are fundamental issues in the field of image processing and computer vision.
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