loading...
Effects on Statistical Features for Image by Quantization
Pasadena, California, USA December 18-December 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2006.912006 International Conference on Inte ...
 This Article 
 
PDF
HTML
IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Yanqing Guo, Dalian University of Technology, China
Weiwei Quan, Dalian University of Technology, China
Yanwu Zhu, Dalian University of Technology, China
Xingang You, Dalian University of Technology, China
Xiangwei Kong, Dalian University of Technology, China
The changes of statistical features can be used to detect the existence of secret messages in images. In this paper, it is indicated that statistical distribution of the whole AC coefficients, such as Generalized Gaussian, Laplacian, Cauchy, etc. can be greatly affected by JPEG quantization process. Furthermore, a constraint condition concerned with quantization step is presented under which the coefficients of individual channel can be fit Laplacian distribution. Based on the constraint condition above, a new steganalytic method, which can achieve a high degree of detection reliability, is also proposed.
Citation:
Yanqing Guo, Weiwei Quan, Yanwu Zhu, Xingang You, Xiangwei Kong, "Effects on Statistical Features for Image by Quantization," iih-msp, pp.631-634, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.