Title :
JPEG Image Steganalysis Improvement Via Image-to-Image Variation Minimization
Author :
Leng, Chiew Kang ; Pieprzyk, Josef
Author_Institution :
Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan
Abstract :
In this research, we introduce an approach to enhance the discriminative capability of features by employing image-to-image variation minimization. In order to minimize image-to-image variation, we will estimate the cover image from the stego image by decompressing the stego image, transforming the decompressed image and re compressing back. Since the effect of the embedding operation in an image steganography is actually a noise adding process to the image, applying these three processes will smooth out the noise and hence the estimated cover image can be obtained.
Keywords :
data compression; image coding; minimisation; steganography; JPEG image steganalysis improvement; image steganography; image-to-image variation minimization; noise adding process; stego image decompression; Acoustic noise; Bayesian methods; Computer science; Feature extraction; Higher order statistics; Histograms; Image generation; Information technology; Object detection; Steganography; Classification; Image-to-Image Variation; JPEG; Steganalysis; Steganography;
Conference_Titel :
Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3489-3
DOI :
10.1109/ICACTE.2008.94