Title :
Novel Algorithms to Steganalysis of Uncompressed and Compressed Images
Author :
Thom, Ho Thi Huong ; Ho Van Canh ; Tien, Trinh Nhat
Author_Institution :
Fac. of Inf. Technol., Hai Phong Private Univ., Hai Phong, Vietnam
Abstract :
A large number of commercial steganographic programs use the least significant bit (LSB) embedding as the method of choice for message hiding in 24-bit, 8-bit color images and grayscale images or non-zero DCT coefficients (compressed images - JPEG images) and DWT coefficients of high subbands (compressed images - JPEG2000 images). It is commonly believed that changes to the LSBs of colors (or DCT coefficients) cannot be detected due to noise that is always present in digital images. In this paper, we introduce two novel methods of steganalysis that can detect LSB embedding reliably in both spatial domain and frequency domain. Methods of statistical estimation and statistical hypothesis test are applied for our problem.
Keywords :
data compression; discrete cosine transforms; discrete wavelet transforms; image coding; statistical testing; steganography; DWT coefficients; JPEG2000 images; color images; compressed images; grayscale images; least significant bit embedding; message hiding; nonzero DCT coefficients; statistical estimation; statistical hypothesis test; steganalysis; steganographic programs; uncompressed images; Color; Colored noise; Digital images; Discrete cosine transforms; Discrete wavelet transforms; Frequency domain analysis; Gray-scale; Image coding; Steganography; Transform coding; LSB; Steganography; cover-image; steganalysis; stego-image;
Conference_Titel :
Knowledge and Systems Engineering, 2009. KSE '09. International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-5086-2
Electronic_ISBN :
978-0-7695-3846-4
DOI :
10.1109/KSE.2009.21
