基于二维EMD技术的图像缩放方法

Yan Tian, Ying Huang, Yong-xia Li
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引用次数: 9

摘要

图像变焦是图像处理中的一个重要问题。本文首先提出了一种图像分解方法——经验模态分解(EMD),然后详细讨论了局部极值点搜索和边界扩展等问题。在此基础上,提出了一种利用二维EMD技术进行图像缩放的新方法。主要步骤设计如下:首先,通过二维EMD方法,将图像分解为若干层,每一层包含不同的细节或具有不同的粗糙度;其次,对每一层使用与该层粗糙度成比例的不同参数组合的方法进行缩放,最后由组合的插值层重构最终的缩放结果。实验结果证明了该方法的有效性
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Image Zooming Method Using 2D EMD Technique
Image zooming is a prime and important problem in image processing. An image decomposition method called empirical mode decomposition (EMD) is first addressed in this paper, and then the problems such as searching local extrema points and boundary extension are discussed in detail. On this basis, a new image zooming method using 2 dimensional (2D) EMD technique is proposed. The main procedures are designed as the following: first, by 2D EMD method, an image is decomposed into several layers, where each of them contains different details or possesses different roughness; second, each layer is zoomed using a combination method with different parameters that are proportional to roughness of that layer, at last, the final zooming result is reconstructed from the combined interpolated layers. Experimental results demonstrate the effectiveness of the proposed method
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