A novel video image scaling algorithm based on morphological edge interpolation

Zaifeng Shi, S. Yao, Yingchun Zhao
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引用次数: 9

Abstract

Traditional image scaling algorithms generally was based on perfect original images which had not any noise. A novel video image scaling algorithm based on morphological edge interpolation was put forward in this paper. This algorithm filtered noise and smooth images by morphological opening-closing operation, and it restrained those faint edges of scaled images obtained by using the traditional methods because that the original video images often had been contaminated by noise. Two interpolation algorithms were used for edge regions and plain regions respectively. Simulation studies show that the proposed algorithm is more efficient for image scaling than conventional image scaling algorithms, and the edges of result images were less blurring.
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一种新的基于形态学边缘插值的视频图像缩放算法
传统的图像缩放算法一般是基于没有任何噪声的完美原始图像。提出了一种基于形态学边缘插值的视频图像缩放算法。该算法通过形态学开闭运算过滤噪声和平滑图像,抑制了传统方法得到的缩放后图像的模糊边缘,因为原始视频图像经常被噪声污染。边缘区域和平原区域分别采用了两种插值算法。仿真研究表明,该算法比传统的图像缩放算法具有更高的图像缩放效率,并且结果图像的边缘模糊程度较低。
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