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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Editorial Department of Journal on Communications
2023-01-01
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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 |
id | doaj-art-c1053e2bb913432e95d78f42b8cc9c10 |
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/ |
work_keys_str_mv | AT chaoxia steganalysisofjpegimagesusingnonlinearresiduals AT yaqiliu steganalysisofjpegimagesusingnonlinearresiduals AT qingxiaoguan steganalysisofjpegimagesusingnonlinearresiduals AT xinjin steganalysisofjpegimagesusingnonlinearresiduals AT yanshuozhang steganalysisofjpegimagesusingnonlinearresiduals AT shengweixu steganalysisofjpegimagesusingnonlinearresiduals |