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Identifying natural images and computer generated graphics based on binary similarity measures of PRNU.
Long, Min; Peng, Fei; Zhu, Yin
刊名Multimedia Tools & Applications
2019
卷号Vol.78 No.1页码:489-506
关键词Binary similarity measures Image source identification Photo response non-uniformity noise (PRNU)
ISSN号1380-7501
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4613377
专题湖南大学
作者单位1.College of Computer and Communication Engineering, Changsha University of Science and Technology, 410014, Changsha, Hunan, People's Republic of China
2.Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha University of Science and Technology, 410114, Changsha, Hunan, China
3.College of Computer Science and Electronic Engineering, Hunan University, 410082, Changsha, Hunan, People's Republic of China
推荐引用方式
GB/T 7714
Long, Min,Peng, Fei,Zhu, Yin. Identifying natural images and computer generated graphics based on binary similarity measures of PRNU.[J]. Multimedia Tools & Applications,2019,Vol.78 No.1:489-506.
APA Long, Min,Peng, Fei,&Zhu, Yin.(2019).Identifying natural images and computer generated graphics based on binary similarity measures of PRNU..Multimedia Tools & Applications,Vol.78 No.1,489-506.
MLA Long, Min,et al."Identifying natural images and computer generated graphics based on binary similarity measures of PRNU.".Multimedia Tools & Applications Vol.78 No.1(2019):489-506.
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