文件名称:2
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
介绍说明－－下载内容均来自于网络，请自行研究使用
In this paper, a new scaling-based image-adaptive
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in the low-frequency wavelet coefficients and optimal control of
its strength factor HVS point of view. Maximum-likelihood
(ML) decoder is used aided by the channel side information. The
performance of the proposed scheme is analytically calculated
and verified by simulation. Experimental results confirm the
imperceptibility of the proposed method and its higher robustness
against attacks compared to alternative watermarking methods in
the literature-In this paper, a new scaling-based image-adaptive
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in the low-frequency wavelet coefficients and optimal control of
its strength factor HVS point of view. Maximum-likelihood
(ML) decoder is used aided by the channel side information. The
performance of the proposed scheme is analytically calculated
and verified by simulation. Experimental results confirm the
imperceptibility of the proposed method and its higher robustness
against attacks compared to alternative watermarking methods in
the literature
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in the low-frequency wavelet coefficients and optimal control of
its strength factor HVS point of view. Maximum-likelihood
(ML) decoder is used aided by the channel side information. The
performance of the proposed scheme is analytically calculated
and verified by simulation. Experimental results confirm the
imperceptibility of the proposed method and its higher robustness
against attacks compared to alternative watermarking methods in
the literature-In this paper, a new scaling-based image-adaptive
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in the low-frequency wavelet coefficients and optimal control of
its strength factor HVS point of view. Maximum-likelihood
(ML) decoder is used aided by the channel side information. The
performance of the proposed scheme is analytically calculated
and verified by simulation. Experimental results confirm the
imperceptibility of the proposed method and its higher robustness
against attacks compared to alternative watermarking methods in
the literature
(系统自动生成,下载前可以参看下载内容)
下载文件列表
2.pdf