Hybrid local prediction error-based difference expansion reversible watermarking for medical images
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- 作者：Vinoth Kumar C.a ; gcvinothkumar@gmail.com" class="auth_mail" title="E-mail the corresponding author ; vinothkumarc@ssn.edu.in" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Natarajan V.b ; natraj@mitindia.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Reversible watermarking ; Prediction error expansion ; Median edge detection ; Gradient adjusted prediction ; Least square prediction
- 刊名：Computers & Electrical Engineering
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：53
- 期：Complete
- 页码：333-345
- 全文大小：1756 K
文摘
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A hybrid local prediction-error based difference expansion reversible watermarking algorithm for hiding data into medical images is presented.
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The performance of hybrid local algorithm with median, median edge, gradient adjusted and local prediction algorithms is compared.
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The hybrid local prediction algorithm has the highest frequency of zero prediction error.
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The PSNR and embedding capacity are improved in the hybrid local algorithm.