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technique is quite small owing to the low compression ratio. Based on this, a general least significant
bit-plane (LSB) embedding technique in the spatial domain was proposed by Celik et al. [6]. The payload and
imperceptibility of embedded data are largely improved because of the more efficient compression technique.
Domingo-Ferrer et al. [5] proposed a spread spectrum data hiding method that is only reversible with respect
to the modified version of the original host signal . Xuan et al. [7] proposed a reversible data hiding algorithm
carried out in the integer wavelet transform (IWT) domain. An improved version of this algorithm was
reported in [11]. By exploiting the superior features of wavelet transform, in particular, the high decorre-technique is quite small owing to the low compression ratio. Based on this, a general least significant
bit-plane (LSB) embedding technique in the spatial domain was proposed by Celik et al. [6]. The payload and
imperceptibility of embedded data are largely improved because of the more efficient compression technique.
Domingo-Ferrer et al. [5] proposed a spread spectrum data hiding method that is only reversible with respect
to the modified version of the original host signal . Xuan et al. [7] proposed a reversible data hiding algorithm
carried out in the integer wavelet transform (IWT) domain. An improved version of this algorithm was
reported in [11]. By exploiting the superior features of wavelet transform, in particular, the high decorre
bit-plane (LSB) embedding technique in the spatial domain was proposed by Celik et al. [6]. The payload and
imperceptibility of embedded data are largely improved because of the more efficient compression technique.
Domingo-Ferrer et al. [5] proposed a spread spectrum data hiding method that is only reversible with respect
to the modified version of the original host signal . Xuan et al. [7] proposed a reversible data hiding algorithm
carried out in the integer wavelet transform (IWT) domain. An improved version of this algorithm was
reported in [11]. By exploiting the superior features of wavelet transform, in particular, the high decorre-technique is quite small owing to the low compression ratio. Based on this, a general least significant
bit-plane (LSB) embedding technique in the spatial domain was proposed by Celik et al. [6]. The payload and
imperceptibility of embedded data are largely improved because of the more efficient compression technique.
Domingo-Ferrer et al. [5] proposed a spread spectrum data hiding method that is only reversible with respect
to the modified version of the original host signal . Xuan et al. [7] proposed a reversible data hiding algorithm
carried out in the integer wavelet transform (IWT) domain. An improved version of this algorithm was
reported in [11]. By exploiting the superior features of wavelet transform, in particular, the high decorre
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Biometrics - Session 4.ppt