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Application of transmit diversity for improved robust watermarking 被引量:1

Application of transmit diversity for improved robust watermarking
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摘要 Many common multimedia signal processing, including cropping, filtering, and perceptual coding, make watermark signal fading-like modification. A scheme that applies transmit diversity technique to improve robustness of digital watermarking is presented. First, the scheme decomposes the original image using wavelet pyramid algorithm and chooses the middle-frequency band for transmission channel that the watermark will be embedded into. Then the watermark is pseudo-randomly permuted. The scheme makes use of space-time coding and differential detection technique to embed and extract watermark. The extracting process has access to neither the original image nor channel state information. Experimental results demonstrate that the scheme improves the performance of robust watermarking. Many common multimedia signal processing, including cropping, filtering, and perceptual coding, make watermark signal fading-like modification. A scheme that applies transmit diversity technique to improve robustness of digital watermarking is presented. First, the scheme decomposes the original image using wavelet pyramid algorithm and chooses the middle-frequency band for transmission channel that the watermark will be embedded into. Then the watermark is pseudo-randomly permuted. The scheme makes use of space-time coding and differential detection technique to embed and extract watermark. The extracting process has access to neither the original image nor channel state information. Experimental results demonstrate that the scheme improves the performance of robust watermarking.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2004年第2期163-170,共8页 系统工程与电子技术(英文版)
基金 This project was supported by the National Natural Science Foundation of China(60072041).
关键词 digital watermark transmit diversity space-time coding differential detection wavelet transform. digital watermark, transmit diversity, space-time coding, differential detection, wavelet transform.
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