کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6957468 1451918 2018 43 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Local multi-watermarking method based on robust and adaptive feature extraction
ترجمه فارسی عنوان
روش چند لایحه محلی بر اساس قابلیت استخراج ویژگی های قوی و سازگار
کلمات کلیدی
آشکارساز ویژگی قوی و تطبیقی. چند منظوره محلی، فرآیند گرمایی اشمیت،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
This paper proposes a local multi-watermarking method based on robust and adaptive feature extraction. The Robust and Adaptive Feature Detector based on DAISY Descriptor (RAF3D) is proposed to extract the feature regions of high robustness and stability. The multi-watermarking method is proposed to embed the multiple watermarks simultaneously into the same extracted feature region. In this way, the capacity will be flexible with either the number of feature regions or the number of watermarks. In the proposed method, the Gram-Schmidt process is applied to embed the watermarks in orthogonal spaces, which guarantees the multiple watermarks can be extracted independently. By repeatedly embedding the watermarks into the numerous feature regions, the success rate of watermark detection can be greatly strengthened. In addition, the local embedding strategy improves the imperceptibility of the watermarked image. Extensive experiments are conducted to evaluate the performance of the proposed scheme and the comparison with several existing methods demonstrate that the proposed scheme outperforms the existing methods in terms of the robustness against various attacks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 149, August 2018, Pages 103-117
نویسندگان
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