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An Improved Bayesian Matting Method Based on Image Statistic Characteristics

机译:基于图像统计特征的一种改进的贝叶斯消光法

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Image matting is an important task in image and video editing and has been studied for more than 30 years. In this paper we propose an improved interactive matting method. Starting from a coarse user-guided trimap, we first perform a color estimation based on texture and color information and use the result to refine the original trimap. Then with the new trimap, we apply soft matting process which is improved Bayesian matting with smoothness constraints. Experimental results on natural image show that this method is useful, especially for the images have similar texture feature in the background or the images which is hard to give a precise trimap.
机译:图像消光是图像和视频编辑中的重要任务,并已研究超过30年。在本文中,我们提出了一种改进的交互式光散方法。从粗略的用户引导的Trimap开始,我们首先根据纹理和颜色信息执行颜色估计,并使用结果来改进原始Trimap。然后使用新的Trimap,我们应用软垫过程,该过程是具有平滑度约束的贝叶斯光垫。天然图像的实验结果表明该方法是有用的,特别是对于图像在背景中具有相似的纹理特征或难以提供精确的修剪的图像。

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