A new cost function for spatial image steganography

A well defined cost function is crucial to steganography under the scenario of minimizing embedding distortion. In this paper, we present a new cost function for spatial image steganography. The proposed cost function is designed by using a high-pass filter to locate the less predictable parts in an...

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Bibliographic Details
Published inProceedings - International Conference on Image Processing pp. 4206 - 4210
Main Authors Bin Li, Ming Wang, Jiwu Huang, Xiaolong Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Additive distortion
Additives
Conferences
Cost function
Forensics
Payloads
Security
steganalysis
steganography
Testing
Online AccessGet full text
ISSN1522-4880
DOI10.1109/ICIP.2014.7025854

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Summary:A well defined cost function is crucial to steganography under the scenario of minimizing embedding distortion. In this paper, we present a new cost function for spatial image steganography. The proposed cost function is designed by using a high-pass filter to locate the less predictable parts in an image, and then using two low-pass filters to make the low cost values more clustered. Experiments show that the steganographic method with the proposed cost function makes the embedding changes more concentrated in texture regions, and thus achieves a better performance on resisting the state-of-the-art steganalysis over prior works, including HUGO, WOW, and S-UNIWARD.
ISSN:1522-4880
DOI:10.1109/ICIP.2014.7025854