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

机译:基于二阶变化的双边滤波器,用于图像风格化和纹理去除

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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:从真实世界的图像中提取有意义的结构并去除不重要的细节或纹理是图像非真实感渲染领域中的一个经典问题,并且还有利于其他与计算机视觉相关的任务。在本文中,我们通过设计一种新颖的加权函数,提出了一种结构敏感的双边滤波器,该加权函数应用了局部颜色值的二阶变化。所提出的滤镜产生图像仿效效果,其中图像由更平坦而可区分的颜色区域表示。此外,通过将传统的双边过滤器组合为后期处理,可以有效去除镶嵌在马赛克艺术和刺绣艺术中的纹理(如图像)。还提供了与最新技术方法的比较,以验证所提出的滤波器的有效性和效率。

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