کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
496367 862857 2012 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An SVD-based image watermarking in wavelet domain using SVR and PSO
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
An SVD-based image watermarking in wavelet domain using SVR and PSO
چکیده انگلیسی

The paper presents a novel blind watermarking scheme for image copyright protection, which is developed in the discrete wavelet transform (DWT) and is based on the singular value decomposition (SVD) and the support vector regression (SVR). Its embedding algorithm hides a watermark bit in the low–low (LL) subband of a target non-overlap block of the host image by modifying a coefficient of U component on SVD version of the block. A blind watermark-extraction is designed using a trained SVR to estimate original coefficients. Subsequently, the watermark bit can be computed using the watermarked coefficient and its corresponding estimate coefficient. Additionally, the particle swarm optimization (PSO) is further utilized to optimize the proposed scheme. Experimental results show the proposed scheme possesses significant improvements in both transparency and robustness, and is superior to existing methods under consideration here.

Figure optionsDownload as PowerPoint slideHighlights
► A blind watermarking scheme is developed in DWT, SVD, and SVR for image copyright protection.
► The watermark bit is hided in the low–low subband of a target non-overlap block of the host image.
► The particle swarm optimization is utilized to optimize the proposed DSS scheme.
► The proposed DSS scheme possesses significant improvements in both transparency and robustness.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 12, Issue 8, August 2012, Pages 2442–2453
نویسندگان
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