PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Powiadomienia systemowe
  • Sesja wygasła!
Tytuł artykułu

Feature Based Affine Invariant Watermarking Robust to Geometric Distortions

Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This work, proposes a robust digital watermarking scheme based on feature points as a defense against illegal user attacks, such as, rotating, scaling and translation. First of all, a Gaussian filter is first adopted to discover the invariant feature points. The local maximum and the local minimum values are then calculated from those feature points. The Affine Invariant Region (AIR) is then divided by combination the values: local maximum, local minimum values and the center of mass. The AIR region is then transformed using affine transform to a block image, called the normalized image, in which the size of the block image is predefined. The watermarks are then embedded into the normalized image. Experimental results indicate that the proposed method can still extract the correct watermark, even after a geometric attack. The proposed method has a lower false positive rate and higher accuracy than Lu's [12] that making it a robust blind watermarking scheme.
Wydawca
Rocznik
Strony
131--143
Opis fizyczny
Bibliogr. 19 poz., fot., tab., wykr.
Twórcy
autor
autor
Bibliografia
  • [1] Alghoniemy, M., Tewfik, A. H.: Geometric distortion correction through image normalization, IEEE International Conference on Multimedia and Expo (ICME 2000), 3, 2000, 1291-1294.
  • [2] Feng, G. R., Jiang, L. G., Wang, D. J., He, H.: Quickly tracing detection for spread spectrum watermark based on effect estimation of the affine transform, Pattern recognition, 38(12), 2005, 2530-2536.
  • [3] Goldberg, D.: Genetic Algorithm in Search, Optimization and Machine Learning, AddisonWesley, 1989.
  • [4] Guo, J., Zhang, D., Shi, P. f.: Self-synchronizing Watermarking Scheme for Arbitrarily Shaped Object, Pattern Recognition, 36(11), 2003, 2737-2741.
  • [5] Hung, K. L., Chang, C. C., Chen, T. S.: A secure DCT-based technique for recoverable tamper proofing, Optical Engineering, 40(9), 2001, 1950-1958.
  • [6] Jin, C.: Affine invariant watermarking algorithm using feature matching, Digital Signal Processing, 16(3), 2006, 247-254.
  • [7] Kunder, D., Hatzinakos, D.: Digital watermarking using multiresolution wavelet decomposition, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 5, 1998, 2969-2972.
  • [8] Licks, V., Jordan, R.: Geometric attacks on image watermarking systems, IEEE Transactions on Multimedia, 12(3), 2005, 68-78.
  • [9] Lin, C. Y., Wu, M., Bloom, J. A., Cox, I. J., Miller, M. L., Lui, Y.M.: Rotation, scale, and translation resilient watermarking for images, IEEE Transactions on Image Processing, 10(5), 2001, 767-782.
  • [10] Lowe, D.: Object recognition from local scale-invariant features, IEEE International Conference on Computer Visio, 2, 1999, 1150-1157.
  • [11] Lu, C. S., Hsu, C. Y.: Content-Dependent Anti-Disclosure Image Watermark, Proceedings of the International. Workshop on Digital Watermarking, Lecture Notes in Computer Science, 2939, 2003, 61-76.
  • [12] Lu, C. S., Sun, S. W., Hsu, C. Y., Chang, P. C.: Media Hash-Dependent Image Watermarking Resilient Against Both Geometric Attacks and Estimation Attacks Based on False Positive-Oriented Detection, IEEE Transactions on Multimedia, 8(4), 2006, 668-685.
  • [13] Lu, W., Lu, H., Chung, F. L.: Feature based watermarking using watermark template match, Applied Mathematics and Computation, 177(1), 2006, 377-386.
  • [14] Mikolajczyk, K., Schmid, C.: Indexing based on scale invariant interest points, IEEE International Conference on Computer Vision (ICCV 2001), 1, 2001, 525V531.
  • [15] Mikolajczyk, K., Schmid, C.: An Affine Invariant Interest PointDetector, European Conference on Computer Vision (ECCV), Lecture Notes in Computer Science, 2350, 2002, 128-142.
  • [16] Pei, S. C., Lin, C. N.: Image Normalization for Pattern Recognition, Image and Vision Computing, 13(10), 1995, 711-723.
  • [17] Seo, J. S., Yoo, C. D.: Image watermarking based on invariant regions of scale-space representation, IEEE Transactions on Image Processing, 54(4), 2006, 1537-1549.
  • [18] Shen, D., lp, H. H. S.: Generalized Affine Invariant Image Normalization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(5), 1997, 431-440.
  • [19] Zhu, P., Chirlian, P.M.: On Critical Point Detection of Digital Shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(8), 1995, 737-748.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS8-0004-0067
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.