Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tai-Hung Lai"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-18 (2021)
Abstract Pixel-value differencing (PVD) steganography is a popular spatial domain technology. Several PVD-based studies have proposed extended PVD steganography methods. The majority of these studies have verified their security against the regular-s
Externí odkaz:
https://doaj.org/article/e5b09ea1152548ebbfc532bf5df7e857
Autor:
Tai-Hung Lai, 賴泰宏
93
P2P (Peer-to-Peer) networks are popular distributed systems. They are generally classified as the structured P2P and the unstructured P2P. Because unstructured P2P networks use flooding mechanism to forward messages, the overhead of traffics
P2P (Peer-to-Peer) networks are popular distributed systems. They are generally classified as the structured P2P and the unstructured P2P. Because unstructured P2P networks use flooding mechanism to forward messages, the overhead of traffics
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/43106602079681673054
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-18 (2021)
Pixel-value differencing (PVD) steganography is a popular spatial domain technology. Several PVD-based studies have proposed extended PVD steganography methods. The majority of these studies have verified their security against the regular-singular (
Publikováno v:
Arabian Journal for Science and Engineering. 46:8525-8533
Pixel-value differencing (PVD) steganography can embed a large quantity of information and effectively resist regular/singular (RS) detection. Recent steganography techniques that are based on PVD have only focused on improving embedding capacity and
Autor:
Chiang-Lung Liu, Tai-Hung Lai
Publikováno v:
Advanced Science Letters. 8:801-806
Autor:
Tai-Hung Lai, Chiang-Lung Liu
Publikováno v:
2012 International Symposium on Computer, Consumer and Control.
As the performance of predictor is crucial to prediction-error based reversible data hiding, this study investigates a predictor using the least-square method to improve the prediction accuracy. The proposed predictor uses a checkerboard division to