@inproceedings{c36eb289d8cd4bd8b4d68ed655d9d5b9,
title = "Medical image quality assessment via contrast masking",
abstract = "The human visual system (HVS) is one of the most important factor for image quality assessment (IQA). The IQA approaches integrating the characteristics of HVS are considered as the more reasonable and more effective approaches to obtain the image quality. In this paper, we propose an improved structural similarity metric (SSIM) for the medical images. The proposed method utilizes the visual sensitivity change in the different image regions to weight the quality map, which is obtained via integrating the contrast masking (CM) characteristic into the SSIM-based framework and called C-SSIM. Furthermore, we build a medical image quality assessment database for further testifying the effectiveness of our approach. The experimental result of our approach correlates well with human subjective opinions of image quality.",
keywords = "Contrast masking, Human Visual System, Image quality assessment, Medical image database",
author = "Yi Hua and Lixiong Liu and Qingjie Zhao",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Congress on Image and Signal Processing, CISP 2015 ; Conference date: 14-10-2015 Through 16-10-2015",
year = "2016",
month = feb,
day = "16",
doi = "10.1109/CISP.2015.7408018",
language = "English",
series = "Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "964--968",
editor = "Lipo Wang and Sen Lin and Zhiyong Tao and Bing Zeng and Xiaowei Hui and Liangshan Shao and Jie Liang",
booktitle = "Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015",
address = "United States",
}