GPU-based nonlocal smoothing for alpha matting

T. Phoka, A. Sudsang
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Abstract

This paper addresses the problem of improving an extracted alpha matte from any matting method. One conventional method is to smooth the alpha matte using Gaussian filter. However, this sometimes induces over smoothing which does not preserve edge features and the background region on the boundary of the alpha matte is turned to semi transparent. The main contribution of this paper is to propose a matte smoothing method based on nonlocal method which is broadly used in image denoising to avoid over smoothing. Another contribution is an implementation of the method on GPU which is plausible to run in real time.
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基于gpu的非局部平滑alpha抠图
本文解决了从任意抠图方法中提取的阿尔法抠图的改进问题。一种传统的方法是使用高斯滤波器平滑alpha哑光。然而,这有时会导致过度平滑,这不会保留边缘特征,并且alpha哑光边界上的背景区域变成半透明。本文的主要贡献是提出了一种基于非局部方法的亚光平滑方法,该方法广泛应用于图像去噪中,以避免过度平滑。另一个贡献是在GPU上实现了该方法,该方法可以实时运行。
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