Steganalysis of JPEG images using non-linear residuals

Most current JPEG steganalytic methods can only extract features from a series of linear residuals.Non-linear filters are not considered in these JPEG steganalytic methods, resulting in single types of residuals.Hence, a JPEG steganalytic method using non-linear residuals was proposed.Firstly, non-l...

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Main Authors: Chao XIA, Yaqi LIU, Qingxiao GUAN, Xin JIN, Yanshuo ZHANG, Shengwei XU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2023-01-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023010/
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author Chao XIA
Yaqi LIU
Qingxiao GUAN
Xin JIN
Yanshuo ZHANG
Shengwei XU
author_facet Chao XIA
Yaqi LIU
Qingxiao GUAN
Xin JIN
Yanshuo ZHANG
Shengwei XU
author_sort Chao XIA
collection DOAJ
description Most current JPEG steganalytic methods can only extract features from a series of linear residuals.Non-linear filters are not considered in these JPEG steganalytic methods, resulting in single types of residuals.Hence, a JPEG steganalytic method using non-linear residuals was proposed.Firstly, non-linear residuals were generated without a high computational cost by using element-wise minimum and maximum operations across a couple of linear residuals which had been obtained in the current JPEG steganalytic method.Secondly, according to the JPEG phase, the non-linear residual was divided into sub-residuals in which the histogram features were extracted.Thirdly, considering the minimum and maximum operators, the symmetrization method was accordingly designed.Finally, all the symmetrized histogram features were concatenated to form the final feature set.Experimental results indicate that the performance for JPEG steganalysis can be improved effectively by using both the linear and the non-linear residuals.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2023-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-c1053e2bb913432e95d78f42b8cc9c102025-01-14T06:28:05ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-01-014414215259389003Steganalysis of JPEG images using non-linear residualsChao XIAYaqi LIUQingxiao GUANXin JINYanshuo ZHANGShengwei XUMost current JPEG steganalytic methods can only extract features from a series of linear residuals.Non-linear filters are not considered in these JPEG steganalytic methods, resulting in single types of residuals.Hence, a JPEG steganalytic method using non-linear residuals was proposed.Firstly, non-linear residuals were generated without a high computational cost by using element-wise minimum and maximum operations across a couple of linear residuals which had been obtained in the current JPEG steganalytic method.Secondly, according to the JPEG phase, the non-linear residual was divided into sub-residuals in which the histogram features were extracted.Thirdly, considering the minimum and maximum operators, the symmetrization method was accordingly designed.Finally, all the symmetrized histogram features were concatenated to form the final feature set.Experimental results indicate that the performance for JPEG steganalysis can be improved effectively by using both the linear and the non-linear residuals.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023010/information hidingsteganalysissteganographyJPEG image
spellingShingle Chao XIA
Yaqi LIU
Qingxiao GUAN
Xin JIN
Yanshuo ZHANG
Shengwei XU
Steganalysis of JPEG images using non-linear residuals
Tongxin xuebao
information hiding
steganalysis
steganography
JPEG image
title Steganalysis of JPEG images using non-linear residuals
title_full Steganalysis of JPEG images using non-linear residuals
title_fullStr Steganalysis of JPEG images using non-linear residuals
title_full_unstemmed Steganalysis of JPEG images using non-linear residuals
title_short Steganalysis of JPEG images using non-linear residuals
title_sort steganalysis of jpeg images using non linear residuals
topic information hiding
steganalysis
steganography
JPEG image
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023010/
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