文章提出了一种基于边缘检测和数据融合技术的图像去噪方法。
In this paper, a method is proposed for image noise reduction based on the edge detection and data fusion.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
图像边缘检测和图像配准是图像融合的关键步骤和必要前提。
Image Edge detection and image registration is a key step and the necessary prerequisite of image fusion.
与一些常用的边缘检测方法相比，本算法实现简单，得到的边缘图像包含更多的边缘信息，但是由于加入了图像融合，由本方法所检测到的图像边缘不是细边缘。
Although the edge of image is not single pixel for adding image fusion, however compared with other methods, this algorithm with which the edge image includes more information on the brink is simple.
与一些常用的边缘检测方法相比，本算法实现简单，得到的边缘图像包含更多的边缘信息，但是由于加入了图像融合，由本方法所检测到的图像边缘不是细边缘。
Although the edge of image is not single pixel for adding image fusion, however compared with other methods, this algorithm with which the edge image includes more information on the brink is simple.
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