Computational Analysis of Variable Scaling Factor based Invisible Image Watermarking using Hybrid SVD - DCT Compression - Decompression Technique
Published in 2011 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Levengipuram - Kanyakumari, India, 2011
Recommended citation: M. M. Dixit, P. K. Kulkarni, P. S. Somasagar and V. C. Angadi (2011), "Computational Analysis of Variable Scaling Factor based Invisible Image Watermarking using Hybrid SVD - DCT Compression - Decompression Technique", In 2011 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Levengipuram - Kanyakumari, India.
Watermarking is a technique of embedding hidden information in multimedia data imperceptibly, such as image, video, audio and text data. Generally, an original image is transformed and coded watermark image data is embedded in frequency domain watermarking models. The proposed work explores the computational analysis of variable scaling factor (α) based invisible image watermarking process using the combination of Singular Value Decomposition (SVD) and Discrete Cosine Transform (DCT) compression and decompression algorithms. The performance analysis of such an invisible image watermarking system is measured using percentage Compression Ratio (%CR), Peak Signal to Noise Ratio (PSNR), with respect to be embedded and extracted images correspondingly. The algorithms thus developed may find applications in copyright identification, finger printing, transaction tracking, content authentication, device control to name a few.
Recommended citation: M. M. Dixit, P. K. Kulkarni, P. S. Somasagar and V. C. Angadi (2011), "Computational Analysis of Variable Scaling Factor based Invisible Image Watermarking using Hybrid SVD - DCT Compression - Decompression Technique", In 2011 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Levengipuram - Kanyakumari, India.