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Improved seam carving for content-aware image retargeting

机译:改进的缝线雕刻内容感知图像retargeting

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摘要

When resizing image, effective means should not only consider geometric constraints, but also handle according to the image content. It is the fact that the image content in the middle is not more attractive than at the edge necessarily, the image resizing means on the basis of content is turning into a new hotspot in the image processing domain. Image resizing is also known as image retargeting. Firstly, this means treats the areas that attract human eyes' attention as more important regions, but the areas that not catch the people's eyes as unimportant districts, then to the greatest extent maintaining the important regions but changing unimportant districts in order to fit target image size. Therefore, this technology is referred to as content-aware image resizing. Among all the means relating to content-aware image resizing, seam carving algorithm's status is beyond all doubt, its advancement and innovation is better than other ways. In this article, seam-carving means was used as a starting point, after analysing the typical seam-carving algorithm, this paper presents a improved algorithm based on seam-carving. In our experiment, it is obvious to see that our new improved way enhances the resizing effects, avoids the distortion and makes better results.
机译:当调整图像大小时,有效手段不仅应考虑几何约束,还应根据图像内容处理。事实上,中间的图像内容并不比边缘更有吸引力,基于内容的图像调整方式转换为图像处理域中的新热点。图像调整大小也称为图像retargeting。首先,这意味着将人们视为更重要的地区吸引人们眼睛的区域,而是不抓住人们眼睛作为不重要地区的地区,那么在最大程度上保持重要地区,而是改变不重要的地区以适应目标形象尺寸。因此,该技术被称为内容感知图像调整大小。在与内容感知图像调整有关的所有手段中,接缝雕算法的状态超出了所有疑问,其进步和创新都比其他方式更好。在本文中,在分析典型的接缝算法之后,将接缝雕刻装置用作起点,本文介绍了一种改进的基于接缝雕刻的算法。在我们的实验中,很明显看出我们的新改进方式增强了调整大小效果,避免了失真并取得更好的结果。

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