Mesh-based image retargeting with spectral graph filtering
Mesh-based image retargeting with spectral graph filtering
复制标题
具有光谱图过滤的基于网格的图像重定向
DOI：
10.1109/apsipa.2016.7820728
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
and M. Onuki
中科院分区：
文献类型：
--
作者：
Y. Tanaka;S. Yagyu;A. Sakiyama;and M. Onuki
提出了一种基于网格的图像重定向中变形像素位置的计算方法。图像重定向是一种复杂的图像缩放方法，即使我们将图像调整为与原始图像不同的纵横比，也可以获得具有可接受质量的调整后的图像。它通常采用基于网格的方法，其中像素是图的节点，像素之间的关系表示为它的边。在本文中，我们重新制定了一个像素位置变形的图像重定向作为一个频谱图滤波与图形信号处理为基础的方法。我们验证我们的方法，通过一些图像重定向的例子与适当设计的滤波器内核在图谱域。
We propose a calculation method of deformed image pixel positions for mesh-based image retargeting. Image retargeting is a sophisticated image resizing method which yields resized images with acceptable quality even if we resize the image into different aspect ratio from the original one. It often employs a mesh-based approach, where pixels are nodes of a graph and relationships between pixels are represented as its edges. In this paper, we reformulate a pixel position deformation of image retargeting as a spectral graph filtering with a graph signal processing-based approach. We validate our method through some image retargeting examples with an appropriately designed filter kernels in the graph spectral domain.