Guo-Shiang Lin

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In this paper, a prescription-based error concealment (PEC) method is proposed. PEC relies on pre-analyses of the concealment error image (CEI) for I-frames and the optimal error concealment scheme for P-frames at encoder side. CEI is used to enhance the image quality at decoder side after error concealment (by spatial interpolation or zero motion) of the(More)
A statistical feature-based scheme is proposed to identify the data hiding domain of an embedded signal in this research. Two phenomena are observed for images before and after data hiding. First, the gradient energy increases as the continuity of gray levels between adjacent pixels is disturbed by the embedded signal. Second, the statistical variance of(More)
Picture quality and statistical undetectability are two key issues related to steganography techniques. In this paper, we propose a closed-loop iterative computing framework that enhances image steganographic schemes with picture quality optimization and anti-steganalysis. To achieve our goal, an anti-steganalysis tester and a controller based on a(More)
In this paper, a public-key-based optical image cryptosystem is proposed for practical secure communications. Conventional encryption algorithms that use the same key in the transmitter and receiver, i.e., a symmetric algorithm, are limited in real applications. The proposed system is based on a hybrid architecture in which the symmetric double random-phase(More)