DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation
Summary :
Depth-image-based-rendering (DIBR) is a popular technique for view synthesis. The rendering process mainly introduces artifacts around edges, which leads to degraded quality. This letter proposes a DIBR-synthesized image quality metric by measuring the Statistics of both Edge Intensity and Orientation (SEIO). The Canny operator is first used to detect edges. Then the gradient maps are calculated, based on which the intensity and orientation of the edge pixels are computed for both the reference and synthesized images. The distance between the two intensity histograms and that between the two orientation histograms are computed. Finally, the two distances are pooled to obtain the overall quality score. Experimental results demonstrate the advantages of the presented method.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.8 pp.1929-1933
- Publication Date
- 2017/08/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016EDL8255
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Yu ZHOU
China University of Mining and Technology
Leida LI
China University of Mining and Technology
Ke GU
Beijing University of Technology
Zhaolin LU
China University of Mining and Technology
Beijing CHEN
Nanjing University of Information Science and Technology
Lu TANG
China University of Mining and Technology
Keyword
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Yu ZHOU, Leida LI, Ke GU, Zhaolin LU, Beijing CHEN, Lu TANG, "DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 8, pp. 1929-1933, August 2017, doi: 10.1587/transinf.2016EDL8255.
Abstract: Depth-image-based-rendering (DIBR) is a popular technique for view synthesis. The rendering process mainly introduces artifacts around edges, which leads to degraded quality. This letter proposes a DIBR-synthesized image quality metric by measuring the Statistics of both Edge Intensity and Orientation (SEIO). The Canny operator is first used to detect edges. Then the gradient maps are calculated, based on which the intensity and orientation of the edge pixels are computed for both the reference and synthesized images. The distance between the two intensity histograms and that between the two orientation histograms are computed. Finally, the two distances are pooled to obtain the overall quality score. Experimental results demonstrate the advantages of the presented method.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016EDL8255/_p
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@ARTICLE{e100-d_8_1929,
author={Yu ZHOU, Leida LI, Ke GU, Zhaolin LU, Beijing CHEN, Lu TANG, },
journal={IEICE TRANSACTIONS on Information},
title={DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation},
year={2017},
volume={E100-D},
number={8},
pages={1929-1933},
abstract={Depth-image-based-rendering (DIBR) is a popular technique for view synthesis. The rendering process mainly introduces artifacts around edges, which leads to degraded quality. This letter proposes a DIBR-synthesized image quality metric by measuring the Statistics of both Edge Intensity and Orientation (SEIO). The Canny operator is first used to detect edges. Then the gradient maps are calculated, based on which the intensity and orientation of the edge pixels are computed for both the reference and synthesized images. The distance between the two intensity histograms and that between the two orientation histograms are computed. Finally, the two distances are pooled to obtain the overall quality score. Experimental results demonstrate the advantages of the presented method.},
keywords={},
doi={10.1587/transinf.2016EDL8255},
ISSN={1745-1361},
month={August},}
Copy
TY - JOUR
TI - DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation
T2 - IEICE TRANSACTIONS on Information
SP - 1929
EP - 1933
AU - Yu ZHOU
AU - Leida LI
AU - Ke GU
AU - Zhaolin LU
AU - Beijing CHEN
AU - Lu TANG
PY - 2017
DO - 10.1587/transinf.2016EDL8255
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2017
AB - Depth-image-based-rendering (DIBR) is a popular technique for view synthesis. The rendering process mainly introduces artifacts around edges, which leads to degraded quality. This letter proposes a DIBR-synthesized image quality metric by measuring the Statistics of both Edge Intensity and Orientation (SEIO). The Canny operator is first used to detect edges. Then the gradient maps are calculated, based on which the intensity and orientation of the edge pixels are computed for both the reference and synthesized images. The distance between the two intensity histograms and that between the two orientation histograms are computed. Finally, the two distances are pooled to obtain the overall quality score. Experimental results demonstrate the advantages of the presented method.
ER -
English
