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Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
Digital Watermarking
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Digital Watermarking

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  • 1. Digital Watermarking a Multimedia Security. . . PRESENTED BY- RAJIV RANJAN KR.
  • 2. Digital Watermarking?
    • Allows users to embed SPECIAL PATTERN or SOME DATA into digital contents without changing its perceptual quality.
    • When data is embedded, it is not written at HEADER PART but embedded directly into digital media itself by changing media contents data
    • Watermarking is a key process for the PROTECTION of copyright ownership of electronic data.
  • 3. Features of Watermarking
    • Invisible/Inaudible
      • Information is embedded without digital content degradation, because of the level of embedding operation is too small for human to notice the change.
    • Inseparable
      • The embedded information can survive after some processing, compression and format transformation.
    • Unchanging data file size
      • Data size of the media is not changed before and after embedding operation because information is embedded directly into the media.
  • 4. How It Works
  • 5. CLASSIFICATION OF WATERMARK
    • According to Human Perception
    • (a)invisible(b)visible
    • According to Robustness
    • (a)fragile(b)semi fragile(c)robust
    • According to types of Document
    • (a)text(b)image(c)audio(d)video
  • 6. CLASSIFICATION BY “HUMAN PERCEPTION”
  • 7. Visible Watermark
    • Logo or seal of the organization which holds the rights to the primary image, it allows the primary image to be viewed, but still visible it clearly as the property of the owning organization.
    • Overlay the watermark in such a way that makes it difficult to remove, if the goal of indicating property rights is to be achieved.
  • 8. Visible Watermark
  • 9. Invisible Watermark
    • Embedding level is too small to notice
    • Can be retrieved by extraction software
    • Applications:
      • Authentication
      • Copyrighting
      • Etc…
  • 10. Invisible Watermark
  • 11. CLASSIFICATION BY “ROBUSTNESS”
  • 12. Fragile/SemiFragile/Robust
    • A watermark is called fragile if it fails to be detected after the slightest modification.
    • A watermark is called semi-fragile if it resists begining transformations but fails detection after malignant transformations.
    • A watermark is called robust if it resists a designated class of transformations.
  • 13. CLASSIFICATION BY “DOCUMENT”
  • 14. Text/Image/Audio watermarking
    • Text/Image/Audio watermarking refers to embedding watermarks in an text/image/audio in order to protect the image from illegal copying and identify manipulation.
  • 15. Video Watermarking
    • Algorithm for video watermarking
      • DFT
      • DCT
      • DWT
    • Watermarking in I-frame.
    Video watermarking refers to embedding watermarks in a video sequence in order to protect the video from illegal copying and identify manipulation
  • 16. Discrete Cosine Transformation
    • DCT convert images from spatial-domain to frequency-domain to decorrelate pixels
    • The discrete cosine transform (DCT) helps to separate the image into parts of differing importance (with respect to the image's visual quality). The DCT is similar to the discrete Fourier transform
    • Remember that JPEG breaks an image into 8x8 units
      • So for DCT n = 8
    • For example
      • 256 gray-scale image each pixel is stored as a value between 0 – 255
      • 0 = black pixel
      • 255 = white pixel
      • Value between are shades of gray
  • 17. Wave Transforms Frequency Amplitude
  • 18. DCT: One Dimensional where n = total no. of data item p = pixel F = coefficients f(i)= is the intensity of the i th pixel The general equation for a 1D ( n data items) DCT is defined by the following equation:
  • 19. DCT: 2D
    • The input image is of size n by m;
    • f(i,j) is the intensity of the pixel in row i and column j;
    • F(u,v) is the DCT coefficient in row k1 and column k2 of the DCT matrix.
    The general equation for a 2D ( N by M image) DCT is defined by the following equation:
  • 20. Watermarking in Video(DCT)
  • 21. Frequency Domain
    • Watermarking signal to embed
    • Host signal
    • Frequency components(using DCT)
    • Embedding
    • Extraction
    = watermared singal
  • 22.
    • Purpose of Watermarking
    • Copyright Protection
    • Fingerprinting
    • Copy Protection
    • Broadcasting Monitoring
    • Data Authentication
  • 23. Thank you !!!

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