IEICE TRANSACTIONS on Information
Image Quality Assessment Based on Multi-Order Visual Comparison
Summary :
A new scheme based on multi-order visual comparison is proposed for full-reference image quality assessment. Inspired by the observation that various image derivatives have great but different effects on visual perception, we perform respective comparison on different orders of image derivatives. To obtain an overall image quality score, we adaptively integrate the results of different comparisons via a perception-inspired strategy. Experimental results on public databases demonstrate that the proposed method is more competitive than some state-of-the-art methods, benchmarked against subjective assessment given by human beings.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.5 pp.1379-1381
- Publication Date
- 2014/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.1379
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Fei ZHOU
Tsinghua University
Wen SUN
Tsinghua University
Qingmin LIAO
Tsinghua University
Keyword
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Fei ZHOU, Wen SUN, Qingmin LIAO, "Image Quality Assessment Based on Multi-Order Visual Comparison" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 5, pp. 1379-1381, May 2014, doi: 10.1587/transinf.E97.D.1379.
Abstract: A new scheme based on multi-order visual comparison is proposed for full-reference image quality assessment. Inspired by the observation that various image derivatives have great but different effects on visual perception, we perform respective comparison on different orders of image derivatives. To obtain an overall image quality score, we adaptively integrate the results of different comparisons via a perception-inspired strategy. Experimental results on public databases demonstrate that the proposed method is more competitive than some state-of-the-art methods, benchmarked against subjective assessment given by human beings.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.1379/_p
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@ARTICLE{e97-d_5_1379,
author={Fei ZHOU, Wen SUN, Qingmin LIAO, },
journal={IEICE TRANSACTIONS on Information},
title={Image Quality Assessment Based on Multi-Order Visual Comparison},
year={2014},
volume={E97-D},
number={5},
pages={1379-1381},
abstract={A new scheme based on multi-order visual comparison is proposed for full-reference image quality assessment. Inspired by the observation that various image derivatives have great but different effects on visual perception, we perform respective comparison on different orders of image derivatives. To obtain an overall image quality score, we adaptively integrate the results of different comparisons via a perception-inspired strategy. Experimental results on public databases demonstrate that the proposed method is more competitive than some state-of-the-art methods, benchmarked against subjective assessment given by human beings.},
keywords={},
doi={10.1587/transinf.E97.D.1379},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Image Quality Assessment Based on Multi-Order Visual Comparison
T2 - IEICE TRANSACTIONS on Information
SP - 1379
EP - 1381
AU - Fei ZHOU
AU - Wen SUN
AU - Qingmin LIAO
PY - 2014
DO - 10.1587/transinf.E97.D.1379
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2014
AB - A new scheme based on multi-order visual comparison is proposed for full-reference image quality assessment. Inspired by the observation that various image derivatives have great but different effects on visual perception, we perform respective comparison on different orders of image derivatives. To obtain an overall image quality score, we adaptively integrate the results of different comparisons via a perception-inspired strategy. Experimental results on public databases demonstrate that the proposed method is more competitive than some state-of-the-art methods, benchmarked against subjective assessment given by human beings.
ER -
English
