Title :
Lossless Data Embedding in the Spatial Domain
Author :
Jin, Hong Lin ; Fujiyoshi, Masaaki ; Kiya, Hitoshi
Author_Institution :
Dept. of Electr. Eng., Tokyo Metropolitan Univ., Hachioji
Abstract :
A lossless data embedding method that inserts data in images in the spatial domain is proposed in this paper. The proposed method restores the original image as well as extracts hidden data from an image in which data are embedded. One and only one parameter based on statistics of pixels is used to embed and extract data. This method requires neither any reference images nor memorization of positions of pixels in which data are hidden to extract embedded data. In addition, the proposed method can control the payload of hidden data and the quality of an image conveying hidden data by controlling the parameter. Simulation results show the effectiveness of the proposed method
Keywords :
data acquisition; data encapsulation; image resolution; image restoration; hidden data extraction; lossless data embedding; original image restoration; reference images; spatial domain method; Data engineering; Data mining; Image restoration; Modeling; Payloads; Pixel; Signal processing; Signal restoration; Statistics; Systems engineering and theory;
Conference_Titel :
Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on
Conference_Location :
Yonago
Print_ISBN :
0-7803-9732-0
Electronic_ISBN :
0-7803-9733-9
DOI :
10.1109/ISPACS.2006.364859
