文件名称:robstance
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In this paper we propose a watermarking system that
uses the biorthogonal discrete wavelet transform, DWT and the
message is encoded before embedding. The proposed
watermarking method is very simple, implying four steps: turbo
coding of the watermark message, embedding the turbo coded
watermark into the host image using a perceptual mask,
extraction of the turbo coded watermark from the watermarked,
possibly corrupted image, and turbo decoding of the watermark.
The goal of this paper is the association of the DWT and duobinary turbo codes. Some simulation examples prove the
performance of the proposed watermarking method- In this paper we propose a watermarking system that
uses the biorthogonal discrete wavelet transform, DWT and the
message is encoded before embedding. The proposed
watermarking method is very simple, implying four steps: turbo
coding of the watermark message, embedding the turbo coded
watermark into the host image using a perceptual mask,
extraction of the turbo coded watermark from the watermarked,
possibly corrupted image, and turbo decoding of the watermark.
The goal of this paper is the association of the DWT and duobinary turbo codes. Some simulation examples prove the
performance of the proposed watermarking method
uses the biorthogonal discrete wavelet transform, DWT and the
message is encoded before embedding. The proposed
watermarking method is very simple, implying four steps: turbo
coding of the watermark message, embedding the turbo coded
watermark into the host image using a perceptual mask,
extraction of the turbo coded watermark from the watermarked,
possibly corrupted image, and turbo decoding of the watermark.
The goal of this paper is the association of the DWT and duobinary turbo codes. Some simulation examples prove the
performance of the proposed watermarking method- In this paper we propose a watermarking system that
uses the biorthogonal discrete wavelet transform, DWT and the
message is encoded before embedding. The proposed
watermarking method is very simple, implying four steps: turbo
coding of the watermark message, embedding the turbo coded
watermark into the host image using a perceptual mask,
extraction of the turbo coded watermark from the watermarked,
possibly corrupted image, and turbo decoding of the watermark.
The goal of this paper is the association of the DWT and duobinary turbo codes. Some simulation examples prove the
performance of the proposed watermarking method
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