A Modified Objective Quality Index For Image Fusion

被引：0
|
作者：
Fu, Zhizhong [1 ]
Xu, Yuwei [1 ]
Xu, Lijuan [1 ]
Zhao, Yufei [1 ]
Xu, Jin [1 ]
Li, Xiaofeng [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Sichuan, Peoples R China
来源：
2018 CROSS STRAIT QUAD-REGIONAL RADIO SCIENCE AND WIRELESS TECHNOLOGY CONFERENCE (CSQRWC) | 2018年
基金：
中国国家自然科学基金;
关键词：
image fusion; index; gradient; quality driving;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Quality assessment of fused image is a vital procedure for image fusion in the Internet of Multimedia Things. A reasonable quality index is not only able to give an accurate assessment for fused results, but also could provide a performance improvement advice for fusion algorithms. In this paper, we will mainly discuss the image fusion metric based on gradient field and improve the accuracy of objective quality assessment algorithm. Our work is towards making the paving for further research of more HVS conformed metric and fusion algorithm based on quality driving.
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页数：3
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