基于形态多尺度度量的免费视点视频质量评估

Dragana D. Sandić-Stanković, F. Battisti, D. Kukolj, P. Callet, M. Carli
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引用次数: 9

摘要

本文将基于形态学多尺度分解的两种图像质量指标应用于自由视点视频序列的评价。这些序列是在基于深度图像的渲染合成过程中使用解压深度图合成的。由于合成在合成的图像/视频中引入了边缘失真,形态学滤波器被用于在不同分辨率水平上保持重要的几何信息(即边缘)的能力。利用均方误差计算了不同分辨率尺度下的边缘位移。所采用的指标显示出与人类判断的更高相关性,而不是在这种情况下使用的最先进的图像质量措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Free viewpoint video quality assessment based on morphological multiscale metrics
In this paper, two image quality metrics based on morphological multiscale decompositions have been applied for the evaluation of free viewpoint video sequences. These sequences are synthesized using decompressed depth maps in the Depth-Image-Based Rendering synthesis process. Since the synthesis introduces edge distortion in the synthesized image/video, morphological filters are used for their ability to maintain important geometric information (i.e., edges) across different resolution levels. The edges displacement in different resolution scales is evaluated by means of the Mean Square Error. The adopted metrics show higher correlation with human judgment than state-of-the-art image quality measures used in this context.
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