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Image Quality Assessment for Multi-view 3D CG Images and 5K High Definition Images Based on S-CIELAB Color Space

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Abstract

In this paper, we assessed subjective quality of 3D CG images by H.265/HEVC with both multi-view parallax barrier and 5K high-definition retina, and then, we analyzed them, and classified by Support Vector Machine. Next, we assessed objective quality by measuring luminance by S-CIELAB color space, and color difference by CIEDE2000.

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... Fig. 4 is shown from loading original image and evaluation image, transforming to S-CIELAB color space and calculating to CIEDE2000. In detail, you would like to refer to [13], [14], and [15]. ...
... This tendency is represented from Exp. 2 and 3, however, in Exp. 1, we estimate the relation to color information. In 3D CG images used in Author's references [5], [14], [15], there are change for luminance and color difference by contrast enhancement and image resolution. Therefore, we estimate applying this knowledge in laparoscopic image in this study. ...
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