Color-Enriched Gradient Similarity for Retouched Image Quality Evaluation
Summary :
Image retouching is fundamental in photography, which is widely used to improve the perceptual quality of a low-quality image. Traditional image quality metrics are designed for degraded images, so they are limited in evaluating the quality of retouched images. This letter presents a RETouched Image QUality Evaluation (RETIQUE) algorithm by measuring structure and color changes between the original and retouched images. Structure changes are measured by gradient similarity. Color colorfulness and saturation are utilized to measure color changes. The overall quality score of a retouched image is computed as the linear combination of gradient similarity and color similarity. The performance of RETIQUE is evaluated on a public Digitally Retouched Image Quality (DRIQ) database. Experimental results demonstrate that the proposed metric outperforms the state-of-the-arts.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.3 pp.773-776
- Publication Date
- 2016/03/01
- Publicized
- 2015/12/09
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015EDL8204
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Leida LI
China University of Mining and Technology
Yu ZHOU
China University of Mining and Technology
Jinjian WU
Xidian University
Jiansheng QIAN
China University of Mining and Technology
Beijing CHEN
Nanjing University of Information Science and Technology
Keyword
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Leida LI, Yu ZHOU, Jinjian WU, Jiansheng QIAN, Beijing CHEN, "Color-Enriched Gradient Similarity for Retouched Image Quality Evaluation" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 3, pp. 773-776, March 2016, doi: 10.1587/transinf.2015EDL8204.
Abstract: Image retouching is fundamental in photography, which is widely used to improve the perceptual quality of a low-quality image. Traditional image quality metrics are designed for degraded images, so they are limited in evaluating the quality of retouched images. This letter presents a RETouched Image QUality Evaluation (RETIQUE) algorithm by measuring structure and color changes between the original and retouched images. Structure changes are measured by gradient similarity. Color colorfulness and saturation are utilized to measure color changes. The overall quality score of a retouched image is computed as the linear combination of gradient similarity and color similarity. The performance of RETIQUE is evaluated on a public Digitally Retouched Image Quality (DRIQ) database. Experimental results demonstrate that the proposed metric outperforms the state-of-the-arts.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8204/_p
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@ARTICLE{e99-d_3_773,
author={Leida LI, Yu ZHOU, Jinjian WU, Jiansheng QIAN, Beijing CHEN, },
journal={IEICE TRANSACTIONS on Information},
title={Color-Enriched Gradient Similarity for Retouched Image Quality Evaluation},
year={2016},
volume={E99-D},
number={3},
pages={773-776},
abstract={Image retouching is fundamental in photography, which is widely used to improve the perceptual quality of a low-quality image. Traditional image quality metrics are designed for degraded images, so they are limited in evaluating the quality of retouched images. This letter presents a RETouched Image QUality Evaluation (RETIQUE) algorithm by measuring structure and color changes between the original and retouched images. Structure changes are measured by gradient similarity. Color colorfulness and saturation are utilized to measure color changes. The overall quality score of a retouched image is computed as the linear combination of gradient similarity and color similarity. The performance of RETIQUE is evaluated on a public Digitally Retouched Image Quality (DRIQ) database. Experimental results demonstrate that the proposed metric outperforms the state-of-the-arts.},
keywords={},
doi={10.1587/transinf.2015EDL8204},
ISSN={1745-1361},
month={March},}
Copy
TY - JOUR
TI - Color-Enriched Gradient Similarity for Retouched Image Quality Evaluation
T2 - IEICE TRANSACTIONS on Information
SP - 773
EP - 776
AU - Leida LI
AU - Yu ZHOU
AU - Jinjian WU
AU - Jiansheng QIAN
AU - Beijing CHEN
PY - 2016
DO - 10.1587/transinf.2015EDL8204
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2016
AB - Image retouching is fundamental in photography, which is widely used to improve the perceptual quality of a low-quality image. Traditional image quality metrics are designed for degraded images, so they are limited in evaluating the quality of retouched images. This letter presents a RETouched Image QUality Evaluation (RETIQUE) algorithm by measuring structure and color changes between the original and retouched images. Structure changes are measured by gradient similarity. Color colorfulness and saturation are utilized to measure color changes. The overall quality score of a retouched image is computed as the linear combination of gradient similarity and color similarity. The performance of RETIQUE is evaluated on a public Digitally Retouched Image Quality (DRIQ) database. Experimental results demonstrate that the proposed metric outperforms the state-of-the-arts.
ER -
English
