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  • 标题:Discrete Wavelet Transform Method: A New Optimized Robust Digital Image Watermarking Scheme
  • 本地全文:下载
  • 作者:Hassan Talebi ; Behzad Poursoleyman
  • 期刊名称:Brain. Broad Research in Artificial Intelligence and Neuroscience
  • 印刷版ISSN:2067-3957
  • 出版年度:2012
  • 卷号:3
  • 期号:3
  • 页码:55-61
  • 语种:English
  • 出版社:EduSoft publishing
  • 摘要:In this paper, a wavelet-based logo watermarking scheme is presented. The logo watermark is embedded into all sub-blocks of the LLn sub-band of the transformed host image, using quantization technique. Extracted logos from all sub-blocks are mixed to make the extracted watermark from distorted watermarked image. Knowing the quantization step-size, dimensions of logo and the level of wavelet transform, the watermark is extracted, without any need to have access to the original image. Robustness of the proposed algorithm was tested against the following attacks: JPEG2000 and old JPEG compression, adding salt and pepper noise, median filtering, rotating, cropping and scaling. The promising experimental results are reported and discussed.
  • 关键词:Wavelet transform, watermarking, quantization technique
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