Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Lingzhuang Meng"'
Publikováno v:
ACS Applied Materials & Interfaces. 14:50424-50433
Percutaneous device-related infection has greatly shortened the service period of devices and seriously reduced the quality of life of patients. Bacteria are one of the main pathogenic factors and cannot be effectively and conveniently eradicated by
Publikováno v:
Multimedia Tools and Applications. 81:39803-39820
Publikováno v:
Multimedia Tools and Applications. 81:16833-16861
Publikováno v:
Security and Communication Networks, Vol 2022 (2022)
With the gradual introduction of deep learning into the field of information hiding, the capacity of information hiding has been greatly improved. Therefore, a solution with a higher capacity and a good visual effect had become the current research g
Autor:
Luxuan Shen, Shuqin Cao, Yuemin Wang, Pei Zhou, Shuaibing Wang, Yao Zhao, Lingzhuang Meng, Quan Zhang, Yanyan Li, Xinyuan Xu, Quan Yuan, Jianshu Li
Publikováno v:
ACS applied materialsinterfaces.
Bone defects caused by disease or trauma are often accompanied by infection, which severely disrupts the normal function of bone tissue at the defect site. Biomaterials that can simultaneously reduce inflammation and promote osteogenesis are effectiv
Publikováno v:
Neural Processing Letters.
Publikováno v:
International Journal of Digital Crime and Forensics. 13:1-14
On the premise of guaranteeing the visual effect, in order to improve the security of the image containing digital watermarking and restore the carrier image without distortion, reversible data hiding in chaotic encryption domain based on odevity ver
Publikováno v:
Multimedia Tools and Applications. 80:711-735
An adaptive reversible watermarking in integer wavelet transform (IWT) domain was proposed in this paper. It could adaptively embed according to the size of the watermark, achieve blind extraction, and the extracted image was completely lossless. A n
Publikováno v:
Wireless Communications and Mobile Computing.
With the in-depth research in data hiding technology, the latest data hiding schemes using deep neural network (DNN) could hide the full-size color image into the same size color image. This paper proposed a larger capacity data hiding scheme based o
Publikováno v:
Knowledge-Based Systems. 223:107022
As deep learning was used in the field of data hiding, the capacity of data hiding had been greatly increased. In addition, the wavelet transform in the traditional data hiding technology performed well, and the hidden image was invisible compared wi