Title :
Features-Pooling Blind JPEG Image Steganalysis
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 a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind steganalysis.
Keywords :
image classification; image coding; steganography; features-pooling blind JPEG image steganalysis; image classification; neural network; Application software; Computer applications; Computer science; Digital images; Feature extraction; Gray-scale; Image quality; Information technology; Steganography; Testing; Steganalysis; Steganography; classification; features-pooling; steganalytic feature;
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2008
Conference_Location :
Canberra, ACT
Print_ISBN :
978-0-7695-3456-5
DOI :
10.1109/DICTA.2008.41
