Robust embedding of image watermark using LWT and SVD
Autor: | Sushma S. Agrawal, Radhika G. Kabra |
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Rok vydání: | 2016 |
Předmět: |
Data_MISCELLANEOUS
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences Digital image symbols.namesake Wavelet Computer Science::Multimedia Singular value decomposition 0202 electrical engineering electronic engineering information engineering Computer vision 0101 mathematics Digital watermarking Histogram equalization Computer Science::Cryptography and Security Mathematics business.industry 010102 general mathematics Wavelet transform 020207 software engineering Watermark Gaussian filter Data_GENERAL symbols Artificial intelligence business |
Zdroj: | 2016 International Conference on Communication and Signal Processing (ICCSP). |
DOI: | 10.1109/iccsp.2016.7754516 |
Popis: | Watermarking is a method of concealing a secret image within original image, used for security purpose. This paper proposes a watermarking method grounded on Lifting Wavelet Transform and Singular Value Decomposition. In this scheme Watermark is not injected directly in Wavelet coefficients. Three level decomposition of original image is done; Singular Value Decomposition is applied to four sub-bands. Watermark image is divided into four parts. SVD is applied to each part of Watermark. Singular values of sub-bands of original image are reformed using Singular values of fragmented Watermark. Modification in all frequencies is robust to various attacks like histogram equalization, sharpening, gamma correction, Gaussian filter, re-watermarking, etc. This paper proposes considerably more imperceptible and eminent results. |
Databáze: | OpenAIRE |
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