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In this paper, we present a new method for objectively evaluating the quality of stereoscopic 3D videos generated by depth-image-based rendering (DIBR). First we show how to derive an ideal depth estimate at each pixel value that would constitute a distortion-free rendered video. The ideal depth estimate will then be used to derive three distortion measures to objectify the visual discomfort in the...
In this paper we present a no-reference objective quality measure for stereoscopic 3D videos generated by depth image-based rendering (DIBR). At first we will derive an ideal depth estimate for each pixel value. The ideal depth estimate will then be used to calculate three distortion measures: temporal outliers (TO), temporal inconsistencies (TI), and spatial outliers (SO). The combination of the...
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