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RdwtSvdWatermarking

于 2020-12-22 发布 文件大小:212KB
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  将原始载体图片经过一维冗余离散小波变换分成四个子频带,分别对每个子频带进行奇异值分解, 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中,再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值, 重建此子带矩阵,而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。(The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subbands, respectively, of each sub-band for the singular value decomposition, the watermark image gray value scale down directly embedded into the matrix singular value, then this matrix is ​ ​ a Singular value decomposition singular value as the singular values ​ ​ of this sub-band, the reconstruction of this sub-band matrix and after anti-redundant discrete wavelet transform watermark image after embedding the carrier.)

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