A Survey of Waveletdomain Watermarking Algorithms Dept. of - - PowerPoint PPT Presentation

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a survey of wavelet domain watermarking algorithms
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A Survey of Waveletdomain Watermarking Algorithms Dept. of - - PowerPoint PPT Presentation

Sep 08, 2023 119 likes •278 views

A Survey of Waveletdomain Watermarking Algorithms Dept. of Scientific Computing, University of Salzburg, Austria motivation & classification approximation image and detail subband characteristics relationship to compression and

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SLIDE 1

A Survey of Wavelet−domain Watermarking Algorithms

  • Dept. of Scientific Computing, University of

Salzburg, Austria motivation & classification approximation image and detail subband characteristics relationship to compression and JPEG2000

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SLIDE 2

Why wavelet−domain watermarking?

robustness

allows to mark significant image components

advantages due to transform structure

space−frequency localization multi−resolution representation adaptivity

compatibility with JPEG2000 standard

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SLIDE 3

The wavelet transform domain

successive low−pass / high−pass filtering steps approximation image detail subbands multi−resolution representation

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Wavelet−domain watermarking

extensive research [Dugelay]

1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 25 50 75 100 125 150 175 200 225 250 275 300

Watermarking publications

Wavelet related Other

Year Number of papers

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Classification of schemes

decomposition strategy

number of levels, adaptivity, packet basis

coefficient selection

approximation image or detail subbands?

embedding and extraction method

additive or quantization strategy

HVS modelling

implicit or explicit

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SLIDE 6

Approximation image watermarking

  • first algorithm [ORuanaidh96] and early schemes,

e.g. [Corvi97]

  • general low−frequency marking, e.g. [Tzovaras98],

[Liang]

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SLIDE 7

Detail subband embedding

  • Laplacian coefficient

distribution

  • large coefficients

correspond to edges, texture

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SLIDE 8

Difference images

created with algorithms by [Corvi97] and [Xia98]

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SLIDE 9

Relationship to image compression

duality between compression and watermarking can use the same HVS model just−noticable difference (JND) paradigm quantization visibility [Watson97] watermarking can exploit visual masking

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SLIDE 10

Relationship to image compression

similar coding techniques MTWC [Wang98] zero−tree coding [Inoue98] EBCOT [Su99]

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SLIDE 11

Compatibility with JPEG2000

cheap devices require integrated coding and watermarking versatile wavelet−based image coder independent processing of image blocks, EBCOT [Taubman99]

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SLIDE 12

PSNR gap

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Correlation

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Conclusion

  • investigate JPEG2000 coding process for

watermarking

  • look at color images and HVS model
  • applications & security