CASIA OpenIR
Distinguishing Computer-generated Images From Natural Images Using Channel And Pixel Correlation
Zhang Ruisong1; Quan Weize1; Fan Lubin2; Hu Liming3; Yan Dongming1
Source Publicationjournal of computer science and technology
ISSN1000-9000
2020
Volume35Issue:3Pages:592-602
Abstract

With the recent tremendous advances of computer graphics rendering and image editing technologies,computergenerated fake images,which in general do not reflect what happens in the reality,can now easily deceive the inspection of human visual system. In this work,we propose a convolutional neural network(CNN)-based model to distinguish computergenerated(CG)images from natural images(NIs)with channel and pixel correlation. The key component of the proposed CNN architecture is a self-coding module that takes the color images as input to extract the correlation between color channels explicitly. Unlike previous approaches that directly apply CNN to solve this problem,we consider the generality of the network(or subnetwork),i.e.,the newly introduced hybrid correlation module can be directly combined with existing CNN models for enhancing the discrimination capacity of original networks. Experimental results demonstrate that the proposed network outperforms state-of-the-art methods in terms of classification performance. We also show that the newly introduced hybrid correlation module can improve the classification accuracy of different CNN architectures.

Keywordnatural image computer-generated image channel and pixel correlation convolutional neural network
DOI10.1007/s11390-020-0216-9
Indexed ByCSCD
Language英语
CSCD IDCSCD:6730976
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/39878
Collection中国科学院自动化研究所
Affiliation1.中国科学院自动化研究所
2.Alibaba Group
3.清华大学
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhang Ruisong,Quan Weize,Fan Lubin,et al. Distinguishing Computer-generated Images From Natural Images Using Channel And Pixel Correlation[J]. journal of computer science and technology,2020,35(3):592-602.
APA Zhang Ruisong,Quan Weize,Fan Lubin,Hu Liming,&Yan Dongming.(2020).Distinguishing Computer-generated Images From Natural Images Using Channel And Pixel Correlation.journal of computer science and technology,35(3),592-602.
MLA Zhang Ruisong,et al."Distinguishing Computer-generated Images From Natural Images Using Channel And Pixel Correlation".journal of computer science and technology 35.3(2020):592-602.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang Ruisong]'s Articles
[Quan Weize]'s Articles
[Fan Lubin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang Ruisong]'s Articles
[Quan Weize]'s Articles
[Fan Lubin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang Ruisong]'s Articles
[Quan Weize]'s Articles
[Fan Lubin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.