Back to Search
Start Over
Steganalysis of JPEG images by block texture based segmentation.
- Source :
- Multimedia Tools & Applications; Jul2015, Vol. 74 Issue 15, p5725-5746, 22p
- Publication Year :
- 2015
-
Abstract
- The current JPEG steganalysis systems have attained outstanding achievements. A considerable variety of strategies for feature extraction are developed. However, a common shortcoming in the traditional image steganalysis techniques is that they are conducted on the entire image and do not take advantage of the content diversity. In this paper, a new steganalysis algorithm based on image segmentation is proposed to enable us to utilize the content characteristics of JPEG images. The images are segmented into several sub-images according to the texture complexity. The steganalysis features of each type of sub-images with the same or close texture complexity are extracted separately to build a classifier. The steganalysis results of the entire image are determined through a weighted fusing process. Experimental results demonstrate that the proposed method exhibits excellent performance and significantly improves the detection accuracy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13807501
- Volume :
- 74
- Issue :
- 15
- Database :
- Complementary Index
- Journal :
- Multimedia Tools & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 108354863
- Full Text :
- https://doi.org/10.1007/s11042-014-1880-y