Suppressing texture-depth misalignment for boundary noise removal in view synthesis

Yin Zhao, Zhenzhong Chen, Dong Tian, Ce Zhu, Lu Yu
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引用次数: 8

Abstract

During view synthesis based on depth maps, also known as Depth-Image-Based Rendering (DIBR), annoying artifacts are often generated around foreground objects, yielding the visual effects that slim silhouettes of foreground objects are scattered into the background. The artifacts are referred as the boundary noises. We investigate the cause of boundary noises, and find out that they result from the misalignment between texture and depth information along object boundaries. Accordingly, we propose a novel solution to remove such boundary noises by applying restrictions during forward warping on the pixels within the texture-depth misalignment regions. Experiments show this algorithm can effectively eliminate most boundary noises and it is also robust for view synthesis with compressed depth and texture information.
抑制纹理深度偏差,消除视图合成中的边界噪声
在基于深度图的视图合成过程中,也称为基于深度图像的渲染(deep - image - based Rendering, DIBR),前景物体周围经常会产生令人讨厌的伪影,从而产生前景物体的细长轮廓分散到背景中的视觉效果。这些伪影被称为边界噪声。研究了边界噪声产生的原因,发现边界噪声的产生是由于物体边界上纹理和深度信息不一致造成的。因此,我们提出了一种新的解决方案,通过对纹理深度不对齐区域内的像素在前向翘曲期间施加限制来去除这种边界噪声。实验表明,该算法能够有效地消除大部分边界噪声,对压缩深度和纹理信息的图像合成具有较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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