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Pyramidal image representation with deformation: Reformulation of domain transform and filter designs

机译:具有变形的金字塔形图像表示:重新定义域变换和滤波器设计

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Edge-preserving smoothing is one of the most important topics for image and video processing. Recently, we presented a multiscale image decomposition method based on domain transform, which is an efficient edge-preserving smoothing method. It is robust to noise compared with the original domain transform. In this paper, we generalize the scheme so that it can be applied to not only domain transform but also any deformation (warping) of pixels (or nonuniformly sampled signals) through showing the facts that the domain transform is a specific method of mesh deformation with a simple cost function. We also propose construction methods of filters by using arbitrary continuous filters or graph spectral filters in order that various filters can be accommodated by our method. To evaluate the proposed method, we performed experiments on pencil drawing and stylization. These results show that our approach easily changes the smoothing strength in accordance with the applications due to its multiscale scheme.
机译:保留边缘的平滑是图像和视频处理的最重要主题之一。最近,我们提出了一种基于域变换的多尺度图像分解方法,它是一种有效的边缘保持平滑方法。与原始域变换相比,它对噪声具有鲁棒性。在本文中,我们通过证明域变换是一种特定的网格变形方法,将其概括为不仅可以应用于域变换,而且可以应用于像素(或非均匀采样信号)的任何变形(翘曲)。一个简单的成本函数。我们还提出了使用任意连续滤波器或图谱滤波器的滤波器构造方法,以便我们的方法可以容纳各种滤波器。为了评估所提出的方法,我们在铅笔素描和样式化方面进行了实验。这些结果表明,由于其多尺度方案,我们的方法很容易根据应用更改平滑强度。

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