A new method to reduce the probability of detection errors for a digital watermark using complementary decoding algorithms and minimum weight codewords of linear code

Tetsushi Masuno, Takuya Kusaka, Toru Fujiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new method using an error correcting code to reduce the probability of detection error for a digital watermark is proposed. The performance of the method is evaluated with a digital watermark for a 2D image as an example. In the method, only minimum weight codewords of the code are used as embedded information and two different decoding algorithms are used to reduce the probability of detection error. Analysis and simulation results on the error correcting capability for AWGN channel are shown to ensure the effectiveness of the concept of the method. In the digital watermark, a minimum weight codeword is embedded in the frequency domain of the green plane of the color space of 2D images with a discrete cosine transform as it has a high PSNR with resistance of JPEG compression. Results on an experiment with JPEG compression attack are also shown to ensure the effectiveness of the method.

Original languageEnglish
Title of host publicationISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications
Pages326-331
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010 - Taichung, Taiwan, Province of China
Duration: Oct 17 2010Oct 20 2010

Other

Other2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010
CountryTaiwan, Province of China
CityTaichung
Period10/17/1010/20/10

Fingerprint

Error detection
Decoding
Discrete cosine transforms
Color
Experiments

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems

Cite this

Masuno, T., Kusaka, T., & Fujiwara, T. (2010). A new method to reduce the probability of detection errors for a digital watermark using complementary decoding algorithms and minimum weight codewords of linear code. In ISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications (pp. 326-331). [5649371] https://doi.org/10.1109/ISITA.2010.5649371

A new method to reduce the probability of detection errors for a digital watermark using complementary decoding algorithms and minimum weight codewords of linear code. / Masuno, Tetsushi; Kusaka, Takuya; Fujiwara, Toru.

ISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications. 2010. p. 326-331 5649371.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Masuno, T, Kusaka, T & Fujiwara, T 2010, A new method to reduce the probability of detection errors for a digital watermark using complementary decoding algorithms and minimum weight codewords of linear code. in ISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications., 5649371, pp. 326-331, 2010 20th International Symposium on Information Theory and Its Applications, ISITA 2010 and the 2010 20th International Symposium on Spread Spectrum Techniques and Applications, ISSSTA 2010, Taichung, Taiwan, Province of China, 10/17/10. https://doi.org/10.1109/ISITA.2010.5649371
Masuno T, Kusaka T, Fujiwara T. A new method to reduce the probability of detection errors for a digital watermark using complementary decoding algorithms and minimum weight codewords of linear code. In ISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications. 2010. p. 326-331. 5649371 https://doi.org/10.1109/ISITA.2010.5649371
Masuno, Tetsushi ; Kusaka, Takuya ; Fujiwara, Toru. / A new method to reduce the probability of detection errors for a digital watermark using complementary decoding algorithms and minimum weight codewords of linear code. ISITA/ISSSTA 2010 - 2010 International Symposium on Information Theory and Its Applications. 2010. pp. 326-331
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