图像重定位方法采用相似变换、裁剪和信箱操作

Kazu Mishiba, Y. Oyamada, K. Kondo
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引用次数: 1

摘要

图像重定向方法将图像的大小更改为任意分辨率,同时保护视觉上重要的区域免受失真。在视觉上重要的区域分布在整个图像上的情况下,传统的重定向方法无法避免失真。为了解决这个问题,我们提出了一种新的图像重定向方法,该方法将图像扭曲与裁剪和信箱操作相结合。尽管无法使用整个显示区域,但信箱的优点是产生的结果不会失真或内容丢失。实验结果证明了该方法的有效性。
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Image retargeting method by similarity transformation, cropping and letterboxing operators
Image retargeting methods change the size of images to an arbitrary resolution while protecting visually important regions from distortion. Conventional retargeting methods fail to avoid distortion in the case where visually important regions are distributed all over the image. To solve this problem, we propose a novel image retargeting method that combines image warping with cropping and letterboxing operators. Letterboxing has the advantage of producing results without distortion or content loss although being unable to use the entire display area. Experimental results demonstrated the effectiveness of our method.
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