Abstract | ||
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In this paper, the authors have presented a robust watermarking scheme which employs both the Discrete Cosine Transform (DCT) and the Singular Value Decomposition (SVD). The proposed scheme starts with transformation of an original grayscale cover image into a transformed image using block based DCT. From each transformed block, the middle band DCT coefficients are selected to form a reduced transformed image and then the watermark is embedded into the constructed reduced transformed image after a suitable SVD operation. Insertion of the watermark into the DCT-based transformed image reveals that the proposed scheme conserve robustness against JPEG compression. The simulation results show that the proposed scheme is reasonably imperceptible and is able to resist a variety of image processing attacks/operations like image enhancement, image noising, cropping operation, JPEG compression etc. |
Year | DOI | Venue |
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2012 | 10.1145/2345396.2345490 | ICACCI |
Keywords | Field | DocType |
middle band dct coefficient,image noising,jpeg compression,robust watermarking scheme,proposed scheme,image processing attack,suitable svd operation,discrete cosine transform,original grayscale cover image,image enhancement,grayscale image,image processing,singular value decomposition | Top-hat transform,Computer vision,Digital watermarking,Computer science,Discrete cosine transform,Image processing,Robustness (computer science),Watermark,Artificial intelligence,Quantization (image processing),Grayscale | Conference |
Citations | PageRank | References |
4 | 0.62 | 12 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
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Soumya Mukherjee | 1 | 4 | 0.62 |
Arup Kumar Pal | 2 | 64 | 14.41 |