色域映射失真类型图像的质量评价

doi:10.13229/j.cnki.jdxbgxb201505046

吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1702-1708.doi: 10.13229/j.cnki.jdxbgxb201505046

色域映射失真类型图像的质量评价

宋超^{1, 2}, 王瑞光¹, 冯英翘^{1, 2}, 陈宇¹, 邓意诚¹

1.中国科学院长春光学精密机械与物理研究所, 长春 130033;
2.华北理工大学信息工程学院,河北唐山 063009

收稿日期:2014-01-14 出版日期:2015-09-01 发布日期:2015-09-01
通讯作者: 王瑞光(1957-),男,研究员,博士生导师.研究方向:平板显示技术,LED大屏幕显示控制系统.E-mail:wangruiguang1957@126.com
作者简介:宋超(1986-）,男,博士研究生.研究方向:LED显示控制及图像处理技术.E-mail:troysung@163.com
基金资助:
国家科技支撑计划项目(2009BAE7373B00)

Quality assessment method for gamut mapping distortion type images

SONG Chao^{1, 2}, WANG Rui-guang¹, FENG Ying-qiao^{1, 2}, CHEN Yu¹, DENG Yi-cheng¹

1.Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences, Changchun 130033,China;
2.College of Information Technology,North China University of Science and Technology,Tangshan 063009,China

Received:2014-01-14 Online:2015-09-01 Published:2015-09-01

摘要/Abstract

摘要： 针对色域映射失真类型图像,在传统算法的基础上提出了一种新的图像质量评价方法。首先,阐述了该评价方法对图像特征提取的目的及方法,并形成最终的评价公式GMSIM。然后,使用已有的3个色域映射图像集和TID2008图像库对GMSIM算法进行参数拟合和预测准确性分析,对色域映射图像库采用命中率来表征算法性能。实验结果显示:GMSIM算法对色域映射失真图像主观感知的预测准确性比传统的SSIM方法提高约4.5%,但仍有较大的进步空间;在TID2008图像库的预测性能也有所提高。

关键词: 信息处理技术, 图像质量评价, 色域映射

Abstract: For gamut mapping distortion type images, a new image assessment method was proposed based on traditional algorithms. First, each image feature extraction objective and extraction method were elaborated, and a final assessment formula, named GMSIM, was established based on these features. Then, applying three existing gamut mapping image sets and the TID2008 image library, the parameters of the GMSIM algorithm were fitted, and the prediction accuracy of the algorithm was analyzed. For gamut mapping image sets, hit rate was used as indication of the algorithm performance. Experiment results show that, compared with traditional SSIM method, the proposed GMSIM algorithm prediction accuracy of subjective perceptions for gamut mapping distortion images was improved by about 4.5%, although there is still much room for improvement. The prediction performance for TID2008 image library is also improved to some extent.

Key words: information processing technology, image quality assessment, gamut mapping

中图分类号:

TN911

宋超, 王瑞光, 冯英翘, 陈宇, 邓意诚. 色域映射失真类型图像的质量评价[J]. 吉林大学学报(工学版), 2015, 45(5): 1702-1708.

SONG Chao, WANG Rui-guang, FENG Ying-qiao, CHEN Yu, DENG Yi-cheng. Quality assessment method for gamut mapping distortion type images[J]. 吉林大学学报(工学版), 2015, 45(5): 1702-1708.

参考文献

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色域映射失真类型图像的质量评价

Quality assessment method for gamut mapping distortion type images

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