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Authentication Watermarking Using Integer Wavelet Transform


Affiliations
1 K. S. Rangasamy College of Technology, Tamil Nadu, India
     

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In a cryptography based authentication watermarking, a message authentication code of the whole image is computed and the resulting code is inserted into the image itself. This paper proposes an efficient authentication watermarking scheme using integer wavelet transform. The already existing spatial domain technique is applied in wavelet domain. Embedding data in wavelet domain offers high degree of robustness against common image processing operations. The proposed scheme reduces the number of required prioritized sub-blocks to be half. To embed k-bits of secret data, the proposed scheme requires only k/2 sub blocks. The scheme is suitable for both small and large images. It detects any alteration while maintaining good visual quality.

Keywords

Authentication Watermarking, Integer Wavelet Transform, Pattern Matching, Lossless Quantization.
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  • Authentication Watermarking Using Integer Wavelet Transform

Abstract Views: 225  |  PDF Views: 3

Authors

P. Meenakshi Devi
K. S. Rangasamy College of Technology, Tamil Nadu, India
M. Venkatesan
K. S. Rangasamy College of Technology, Tamil Nadu, India
K. Duraiswamy
K. S. Rangasamy College of Technology, Tamil Nadu, India

Abstract


In a cryptography based authentication watermarking, a message authentication code of the whole image is computed and the resulting code is inserted into the image itself. This paper proposes an efficient authentication watermarking scheme using integer wavelet transform. The already existing spatial domain technique is applied in wavelet domain. Embedding data in wavelet domain offers high degree of robustness against common image processing operations. The proposed scheme reduces the number of required prioritized sub-blocks to be half. To embed k-bits of secret data, the proposed scheme requires only k/2 sub blocks. The scheme is suitable for both small and large images. It detects any alteration while maintaining good visual quality.

Keywords


Authentication Watermarking, Integer Wavelet Transform, Pattern Matching, Lossless Quantization.