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OBJECTIVE QUALITY ASSESSMENT OF DEPTH IMAGE BASED RENDERING IN 3DTV SYSTEM

机译:3DTV系统深度图像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:本文提出了一种由灰度深度图像增强的单眼视频格式的3D视频的新颖的基于深度图像的渲染(DIBR)的客观评估。度量由边缘失真(CSED)测量的颜色和清晰度组成。彩色失真测量渲染图像的亮度损耗与参考相比,边缘失真的清晰度计算到原始边缘的剩余边缘的深度加权比例。与MSE和PSNR等传统质量指标相比,我们的指标不仅代表颜色伪像,而且表示具有高于两个方面的合成误差。对不同渲染方法的主观评估也完成,所获得的结果与我们的客观指标表现出了重大协议。

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