Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Xijian Ping"'
Publikováno v:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017).
Compared with the process of embedding, the image contents make a more significant impact on the differences of image statistical characteristics. This makes the image steganalysis to be a classification problem with bigger withinclass scatter distan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3b270dc0f539919bc1337b1a0853d5d
https://doi.org/10.1117/12.2304572
https://doi.org/10.1117/12.2304572
Publikováno v:
Multimedia Tools and Applications. 74:5725-5746
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 c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e16827e4d91e75c4d51e0752376d896
https://doi.org/10.1007/s11042-014-1880-y
https://doi.org/10.1007/s11042-014-1880-y
Publikováno v:
Multimedia Tools and Applications. 73:1487-1506
On the basis of the analysis of JPEG error and stegonoise, we propose a novel quantitative steganalyzer for spatial ±1 steganography in JPEG decompressed images. First, we present a particular theoretical argument that the cover images, which are or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1658942048d603fba3f529a4803386b
https://doi.org/10.1007/s11042-013-1654-y
https://doi.org/10.1007/s11042-013-1654-y
Publikováno v:
Science China Information Sciences. 57:1-7
Subtractive pixel adjacency matrix (SPAM) features, introduced by Pevn’y et al. as a type of Markov chain features, are widely used for blind steganalysis in the spatial domain. In this paper, we present three improvements to SPAM as follows: 1) ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33c5ba2f3e6cc08255d104841ba7f96c
https://doi.org/10.1007/s11432-013-4793-x
https://doi.org/10.1007/s11432-013-4793-x
Publikováno v:
Digital Forensics and Watermarking ISBN: 9783319534640
IWDW
IWDW
Most of the traditional image steganalysis techniques are conducted on the entire image and do not take advantage of the content diversity. However, the steganalysis features are affected by image content, and the impact is more serious than embeddin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b607591432b5dbd0fd82f3dd18fd4af
https://doi.org/10.1007/978-3-319-53465-7_40
https://doi.org/10.1007/978-3-319-53465-7_40
Publikováno v:
KSII Transactions on Internet and Information Systems. :840-855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c60f42c44757f05ca4cb55054cad9efc
https://doi.org/10.3837/tiis.2011.04.012
https://doi.org/10.3837/tiis.2011.04.012
Publikováno v:
Information Sciences. 180:4685-4694
This paper presents a least significant bit (LSB) matching steganography detection method based on statistical modeling of pixel difference distributions. Previous research indicates that natural images are highly correlated in a local neighborhood a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99c5fe5fb0a28420eae86dd40973577b
https://doi.org/10.1016/j.ins.2010.07.037
https://doi.org/10.1016/j.ins.2010.07.037
Publikováno v:
Science in China Series F: Information Sciences. 51:1466-1474
According to the distribution characteristics of short and repeated sequence (SRS), a steganalytic method based on the correlation of image bit planes is proposed. Firstly, we provide the conception of SRS distance statistics and deduce its statistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdacf5664fc9886cf25beffa69c9722a
https://doi.org/10.1007/s11432-008-0110-5
https://doi.org/10.1007/s11432-008-0110-5
Publikováno v:
Proceedings of SPIE; 2018, Vol. 10615, p1-12, 12p
Publikováno v:
Pattern Recognition Letters. 26:2033-2041
Range image analysis is one of the most important subjects in the fields of computer vision and pattern recognition, and range image segmentation is the key of the analysis. This paper presents a novel range image segmentation algorithm based on RHT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a854871aa4b35bcb1271588ffcdd010
https://doi.org/10.1016/j.patrec.2005.02.007
https://doi.org/10.1016/j.patrec.2005.02.007