This paper introduces the theory about wavelet and the applications on image processing particularly and gives two image merging ideas and gives two different boundary reconstruction methods.
本文详细介绍了小波变换理论及其在图像处理方面的应用，分别提出了几何角度和灰度角度的两种不同的图像镶嵌算法，并提出两种不同的边界重构方式。
The directional wavelet theory provides a novel sparse representation method for image processing, and it can capture geometrical image structures more efficiently.
方向性小波理论为图像处理提供了一种新的稀疏表示方法，能够更有效地捕捉图像中的几何结构。
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