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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3179693
Abstract: Multi-view 3D content is subject to distortions during the process of depth image-based rendering (DIBR). Studies have shown the unreliable performance of the well-established image quality assessment (IQA) models for evaluation of DIBR-synthesized views which…
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Keywords:
quality;
iqa;
quality assessment;
dibr ... See more keywords
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Published in 2020 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2019.2906768
Abstract: This paper proposes to blindly evaluate the quality of images synthesized via a depth image-based rendering (DIBR) procedure. As a significant branch of virtual reality (VR), superior DIBR techniques provide free viewpoints in many real…
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Keywords:
quality;
dibr synthesized;
natural scene;
image ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3161103
Abstract: In the three-dimensional video system, the depth image-based rendering is a key technique for generating synthesized views, which provides audiences with depth perception and interactivity. However, the inaccuracy of depth information leads to geometrical rendering…
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Keywords:
quality;
residual distillation;
enhancement;
synthesized views ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3145997
Abstract: Existing Quality Assessment (QA) algorithms consider identifying “black-holes” to assess perceptual quality of 3D-synthesized views. However, advancements in rendering and inpainting techniques have made black-hole artifacts near obsolete. Further, 3D-synthesized views frequently suffer from stretching…
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Keywords:
quality;
quality assessment;
perceptual quality;
blocks stretching ... See more keywords