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

Hang Shao, Xun Cao, Guihua Er
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引用次数: 55

Abstract

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.
3DTV系统中基于深度图像绘制的客观质量评价
针对灰度深度图像增强的单眼视频格式的三维视频,提出了一种新的基于深度图像的客观评价方法。该度量由颜色和边缘失真清晰度(CSED)度量组成。颜色失真衡量的是渲染图像与参考图像相比的亮度损失,边缘失真的清晰度计算的是剩余边缘与原始边缘的深度加权比例。与MSE和PSNR等传统质量度量相比,我们的度量不仅代表了颜色伪影,而且代表了这两个方面的综合误差。对不同的渲染方法进行了主观评价,所得结果与我们的客观度量有显著的一致性。
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