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A Second Order Variation Based Bilateral Filter for Image Stylization and Texture Removal

机译:基于二阶变型的图像风格化和纹理拆除的双侧滤波器

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Extracting meaningful structures and removing unimportant details or textures from a real world image is a classical problem in the domain of non-photorealistic rendering for images and benefits further computer vision related tasks as well. In this paper, we propose a structure sensitive bilateral filter by designing a novel weighting function which applies the second order variations of local color values. The proposed filter results in an image stylization effect where an image is represented by more flatten while distinguishable color regions. Furthermore, by combining the traditional bilateral filter as a post processing, textures embedded in mosaic art and embroidery art like images can be removed efficiently. Comparisons with the state-of-the-art methods are also provided to verify the validity and efficiency of the proposed filter.
机译:从真实世界图像中提取有意义的结构和消除不重要的细节或纹理是用于图像的非照片拟理渲染的域中的经典问题,并且也有利于进一步的计算机视觉相关任务。在本文中,我们通过设计一种新的加权函数来提出结构敏感的双侧滤波器,该重量函数应用局部颜色值的二阶变化。所提出的滤波器导致图像程式化效果,其中图像由更平坦的同时以区分颜色区域表示。此外,通过将传统的双侧滤波器组合作为后处理,可以有效地除去嵌入在镶嵌和刺绣艺术中的纹理。还提供了利用最先进的方法的比较来验证所提出的过滤器的有效性和效率。

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