IEEE Trans Image Process. 2016 Oct;25(10):4608-4616. doi: 10.1109/TIP.2016.2593345. Epub 2016 Jul 19.
Existing matting methods focus on improving matte quality to produce high-quality composites. This generally requires significant manual interaction, a tedious task for the user. Despite these efforts, the composites may still exhibit evident artifacts, especially in the case of transparent and complicated objects as their related pixels always contain percentage of the background. In this paper, we focus on the enhanced use of mattes to produce satisfactory composites by suppressing the discrepancies around objects of interest. This approach is motivated by cloning methods but overcomes their shortcoming of ineffective treatment of the over-included regions around objects of interest. For this, we present an enhanced matting function by including a term to smooth the local contrasts for seamless composition, and meanwhile, we develop a novel algorithm to generate mattes with reduced user interaction and improved usability. As a result, we reduce the composite's dependence on the user's input and only require the user to drag a box to enclose the objects of interest. As shown in the user studies and the experimental results, our method requires many times less user interaction than the existing matting methods and cloning methods. Our method is more effective in producing good composites in a simple interactive manner, especially when treating transparent and complicated objects, thereby providing a superior approach for image composition.
现有的抠图方法专注于提高蒙版质量以生成高质量的合成图像。这通常需要大量的人工交互，对用户来说是一项繁琐的任务。尽管付出了这些努力，但合成图像可能仍然会出现明显的伪影，特别是在处理透明和复杂物体的情况下，因为它们相关的像素总是包含一定比例的背景。在本文中，我们专注于通过抑制感兴趣物体周围的差异来增强蒙版的使用，以生成令人满意的合成图像。这种方法受到克隆方法的启发，但克服了它们对感兴趣物体周围过度包含区域处理无效的缺点。为此，我们通过加入一个用于平滑局部对比度以实现无缝合成的项来提出一种增强的抠图函数，同时，我们开发了一种新颖的算法来生成蒙版，减少用户交互并提高可用性。结果，我们降低了合成图像对用户输入的依赖，只要求用户拖动一个框来包围感兴趣的物体。如用户研究和实验结果所示，我们的方法所需的用户交互比现有的抠图方法和克隆方法少很多倍。我们的方法在以简单的交互方式生成良好的合成图像方面更有效，特别是在处理透明和复杂物体时，从而为图像合成提供了一种优越的方法。
