Determining the Efficient Subband Coefficients of Biorthogonal Wavelet for Gray level Image Watermarking

International Journal of Image Processing

B. B. Amberker¹  Nagaraj V. Dharwadkar¹ 

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关键词: Watermarking;    DWT;    RMS;    MSE;    PSNR;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

In this paper, we propose an invisible blind watermarking scheme for the gray-level images. The cover image is decomposed using the Discrete Wavelet Transform with Biorthogonal wavelet filters and the watermark is embedded into significant coefficients of the transformation. The Biorthogonal wavelet is used because it has the property of perfect reconstruction and smoothness. The proposed scheme embeds a monochrome watermark into a gray-level image. In the embedding process, we use a localized decomposition, means that the second level decomposition is performed on the detail sub-band resulting from the first level decomposition. The image is decomposed into first level and for second level decomposition we consider Horizontal, vertical and diagonal subband separately. From this second level decomposition we take the respective Horizontal, vertical and diagonal coefficients for embedding the watermark. The robustness of the scheme is tested by considering the different types of image processing attacks like blurring, cropping, sharpening, Gaussian filtering and salt and pepper noise effect. The experimental result shows that the embedding watermark into diagonal subband coefficients is robust against different types of attacks.

【 授权许可】

Unknown