Reliable steganalysis of color images based on color gradient sequence

Based on the difference between the vibrations of color gradient orientation sequences and color gradient sum sequences of stego images and those of images without hiding message,a novel reliable steganalysis of color images was presented which major in the analysis of these two categories of color...

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Main Authors: QI Ke1, ZHANG Da-fang1, XIE Dong-qing2
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74419079/
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author QI Ke1
ZHANG Da-fang1
XIE Dong-qing2
author_facet QI Ke1
ZHANG Da-fang1
XIE Dong-qing2
author_sort QI Ke1
collection DOAJ
description Based on the difference between the vibrations of color gradient orientation sequences and color gradient sum sequences of stego images and those of images without hiding message,a novel reliable steganalysis of color images was presented which major in the analysis of these two categories of color gradient sequences,which could distill the differ-ences of the vibrations of them.The Hilbert-Huang transform based characteristic vectors were constructed and the SVM classifier was used to classification.The experimental results have shown that the proposed method realizes the reliable steganalysis of color images with higher correct rate,shorter vectors and lower false positive rate comparing with tradi-tional color image steganalysis algorithms.
format Article
id doaj-art-a4ed228507c14c818de7cb5102aab4c0
institution DOAJ
issn 1000-436X
language zho
publishDate 2011-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-a4ed228507c14c818de7cb5102aab4c02025-08-20T02:53:43ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-0132273674419079Reliable steganalysis of color images based on color gradient sequenceQI Ke1ZHANG Da-fang1XIE Dong-qing2Based on the difference between the vibrations of color gradient orientation sequences and color gradient sum sequences of stego images and those of images without hiding message,a novel reliable steganalysis of color images was presented which major in the analysis of these two categories of color gradient sequences,which could distill the differ-ences of the vibrations of them.The Hilbert-Huang transform based characteristic vectors were constructed and the SVM classifier was used to classification.The experimental results have shown that the proposed method realizes the reliable steganalysis of color images with higher correct rate,shorter vectors and lower false positive rate comparing with tradi-tional color image steganalysis algorithms.http://www.joconline.com.cn/zh/article/74419079/color image steganalysisMumford-Shah modelcolor gradient sum sequencecolor gradient orientation sequenceHilbert-Huang transform
spellingShingle QI Ke1
ZHANG Da-fang1
XIE Dong-qing2
Reliable steganalysis of color images based on color gradient sequence
Tongxin xuebao
color image steganalysis
Mumford-Shah model
color gradient sum sequence
color gradient orientation sequence
Hilbert-Huang transform
title Reliable steganalysis of color images based on color gradient sequence
title_full Reliable steganalysis of color images based on color gradient sequence
title_fullStr Reliable steganalysis of color images based on color gradient sequence
title_full_unstemmed Reliable steganalysis of color images based on color gradient sequence
title_short Reliable steganalysis of color images based on color gradient sequence
title_sort reliable steganalysis of color images based on color gradient sequence
topic color image steganalysis
Mumford-Shah model
color gradient sum sequence
color gradient orientation sequence
Hilbert-Huang transform
url http://www.joconline.com.cn/zh/article/74419079/
work_keys_str_mv AT qike1 reliablesteganalysisofcolorimagesbasedoncolorgradientsequence
AT zhangdafang1 reliablesteganalysisofcolorimagesbasedoncolorgradientsequence
AT xiedongqing2 reliablesteganalysisofcolorimagesbasedoncolorgradientsequence