Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Xintao, Duan"'
Autor:
Xintao, Duan, Nao, Liu
In the past, steganography was to embed text in a carrier, the sender Alice and the recipient Bob share the key, and the text is extracted by Bob through the key. If more information is embedded, the image is easily distorted. In contrast, if there i
Externí odkaz:
http://arxiv.org/abs/1910.08341
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2020, Iss 1, Pp 1-10 (2020)
Abstract The traditional information hiding is realized by embedding the secret information into the multimedia, but it will inevitably leave the modification mark in the carrier. This paper proposed a new method of coverless information hiding. Firs
Externí odkaz:
https://doaj.org/article/1bc51636b8a043589ef2ebe61fc05f78
Publikováno v:
IEEE Access, Vol 8, Pp 55063-55075 (2020)
The Rich Model of the Gabor filter (referred to as the GFR steganalytic feature) can detect JPEG-adaptive steganography objects. However, feature dimensionality that is too high will lead to too much computation and will correspondingly reduce the de
Externí odkaz:
https://doaj.org/article/3aa5654140ba42db8d3b3c03ba21073b
Publikováno v:
IEEE Access, Vol 8, Pp 25777-25788 (2020)
Image steganography is a technology that hides sensitive information into an image. The traditional image steganography method tends to securely embed secret information in the host image so that the payload capacity is almost ignored and the stegano
Externí odkaz:
https://doaj.org/article/57f40792e5f34904a67020ed3ef53b92
Publikováno v:
IEEE Access, Vol 8, Pp 195253-195262 (2020)
In terms of payload capacity and visual effects, the existing image steganography technology based on deep neural networks still needs improvement, to solve this problem, this article proposes a new deep convolutional steganography network based on t
Externí odkaz:
https://doaj.org/article/99fec422d2b44aa7bb749a034316931e
Publikováno v:
IEEE Access, Vol 8, Pp 170174-170182 (2020)
Aiming at the problem that the traditional steganography based on carrier modification has the low steganographic capacity, a steganographic scheme based on Fully Convolutional Dense Connection Network (FC-DenseNet) is proposed. Since FC-DenseNet can
Externí odkaz:
https://doaj.org/article/604ddf5e0df64726a317c50281238675
Publikováno v:
IEEE Access, Vol 7, Pp 45460-45471 (2019)
This paper proposes an efficient scheme for generating image hashing by combining the local texture and color angle features. During the stage of texture extraction, using Weber's Law, the difference ratios between the center pixels and their surroun
Externí odkaz:
https://doaj.org/article/817d8f7efcac478f894d090686e73f08
Publikováno v:
IEEE Access, Vol 7, Pp 9314-9323 (2019)
Traditional steganography methods often hide secret data by establishing a mapping relationship between secret data and a cover image or directly in a noisy area, but has a low embedding capacity. Based on the thought of deep learning, in this paper,
Externí odkaz:
https://doaj.org/article/52abce267f0441b7b0ad50cb7e83b085
Publikováno v:
Symmetry, Vol 14, Iss 1, p 151 (2022)
Data hiding is the technique of embedding data into video or audio media. With the development of deep neural networks (DNN), the quality of images generated by novel data hiding methods based on DNN is getting better. However, there is still room fo
Externí odkaz:
https://doaj.org/article/7615ef426a5d4b87bcab802e11775872
Publikováno v:
Symmetry, Vol 13, Iss 10, p 1775 (2021)
Fewer contribution feature components in the image high-dimensional steganalysis feature are able to increase the spatio-temporal complexity of detecting the stego images, and even reduce the detection accuracy. In order to maintain or even improve t
Externí odkaz:
https://doaj.org/article/834a89c3b64b46e3934aad16e4d3a14c