caa a22 4500 605447748 CHVBK 20210128100133.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11042-014-1880-y doi (NATIONALLICENCE)springer-10.1007/s11042-014-1880-y Steganalysis of JPEG images by block texture based segmentation [Elektronische Daten] [Ran Wang, Mankun Xu, Xijian Ping, Tao Zhang] 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. Springer Science+Business Media New York, 2014 Steganalysis nationallicence JPEG steganography nationallicence Image texture nationallicence Image segmentation nationallicence Wang Ran Zhengzhou Information Science and Technology Institute, 450002, Zhengzhou, Henan, China aut Xu Mankun Zhengzhou Information Science and Technology Institute, 450002, Zhengzhou, Henan, China aut Ping Xijian Zhengzhou Information Science and Technology Institute, 450002, Zhengzhou, Henan, China aut Zhang Tao Zhengzhou Information Science and Technology Institute, 450002, Zhengzhou, Henan, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5725-5746 1380-7501 74:15<5725 2015 74 11042 https://doi.org/10.1007/s11042-014-1880-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-1880-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang Ran Zhengzhou Information Science and Technology Institute, 450002, Zhengzhou, Henan, China aut NATIONALLICENCE 700 1- Xu Mankun Zhengzhou Information Science and Technology Institute, 450002, Zhengzhou, Henan, China aut NATIONALLICENCE 700 1- Ping Xijian Zhengzhou Information Science and Technology Institute, 450002, Zhengzhou, Henan, China aut NATIONALLICENCE 700 1- Zhang Tao Zhengzhou Information Science and Technology Institute, 450002, Zhengzhou, Henan, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5725-5746 1380-7501 74:15<5725 2015 74 11042