Chen proposed an image quality assessment method to evaluate image quality at a ratio of noise in an image. However, Chen's method had some drawbacks that unnoticeable noise is reflected in the evaluation or noise position is not accurately detected. Therefore, in this paper, we propose a new image quality measurement scheme using the mean-centered WLNI (Weber's Law Noise Identifier) and the saliency map. The experimental results show that the proposed method outperforms Chen's and agrees more consistently with human visual judgment.
Soyoung CHUNG
Seoul Women's University
Min Gyo CHUNG
Seoul Women's University
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Soyoung CHUNG, Min Gyo CHUNG, "An Image Quality Assessment Using Mean-Centered Weber Ratio and Saliency Map" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 1, pp. 138-140, January 2016, doi: 10.1587/transinf.2015MUL0001.
Abstract: Chen proposed an image quality assessment method to evaluate image quality at a ratio of noise in an image. However, Chen's method had some drawbacks that unnoticeable noise is reflected in the evaluation or noise position is not accurately detected. Therefore, in this paper, we propose a new image quality measurement scheme using the mean-centered WLNI (Weber's Law Noise Identifier) and the saliency map. The experimental results show that the proposed method outperforms Chen's and agrees more consistently with human visual judgment.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015MUL0001/_p
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@ARTICLE{e99-d_1_138,
author={Soyoung CHUNG, Min Gyo CHUNG, },
journal={IEICE TRANSACTIONS on Information},
title={An Image Quality Assessment Using Mean-Centered Weber Ratio and Saliency Map},
year={2016},
volume={E99-D},
number={1},
pages={138-140},
abstract={Chen proposed an image quality assessment method to evaluate image quality at a ratio of noise in an image. However, Chen's method had some drawbacks that unnoticeable noise is reflected in the evaluation or noise position is not accurately detected. Therefore, in this paper, we propose a new image quality measurement scheme using the mean-centered WLNI (Weber's Law Noise Identifier) and the saliency map. The experimental results show that the proposed method outperforms Chen's and agrees more consistently with human visual judgment.},
keywords={},
doi={10.1587/transinf.2015MUL0001},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - An Image Quality Assessment Using Mean-Centered Weber Ratio and Saliency Map
T2 - IEICE TRANSACTIONS on Information
SP - 138
EP - 140
AU - Soyoung CHUNG
AU - Min Gyo CHUNG
PY - 2016
DO - 10.1587/transinf.2015MUL0001
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2016
AB - Chen proposed an image quality assessment method to evaluate image quality at a ratio of noise in an image. However, Chen's method had some drawbacks that unnoticeable noise is reflected in the evaluation or noise position is not accurately detected. Therefore, in this paper, we propose a new image quality measurement scheme using the mean-centered WLNI (Weber's Law Noise Identifier) and the saliency map. The experimental results show that the proposed method outperforms Chen's and agrees more consistently with human visual judgment.
ER -