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Objective quality assessment of depth image based rendering in 3DTV system

机译:3DTV系统中基于深度图像的渲染的客观质量评估

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In this paper, a novel objective evaluation of depth image based rendering (DIBR) is proposed for the 3D video in format of a monocular video augmented by the gray-scale depth image. The metric is composed of Color and Sharpness of Edge Distortion(CSED) measure. Color distortion measures the luminance loss of the rendered image compared with the reference, and sharpness of edge distortion calculates a depth-weighted proportion of remaining edge to the original edge. Comparing to the conventional quality metrics such as MSE and PSNR, our metric represents not only the color artifact but also the synthesis error with above two aspects. Subjective assessment of the different rendering methods is done as well, and the obtained results show significant agreement with our objective metric.
机译:在本文中,提出了一种新颖的基于深度图像的渲染客观评估(DIBR),用于3D视频,其格式为灰度深度图像增强的单眼视频。该度量由“颜色和边缘失真的清晰度”(CSED)度量组成。颜色失真测量的是与参考图像相比渲染图像的亮度损失,边缘失真的清晰度计算剩余边缘与原始边缘的深度加权比例。与常规质量指标(如MSE和PSNR)相比,我们的指标不仅代表颜色伪影,而且还代表上述两个方面的综合误差。还对不同的渲染方法进行了主观评估,并且获得的结果表明与我们的客观指标具有显着一致性。

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