A watermarking method using quantization and statistical characteristics of wavelet transform

KeunDuck Byun, Sangjin Lee, HyungJun Kim

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

13 Citations (Scopus)

Abstract

A statistical watermarking method is proposed in This paper. The proposed method uses two different algorithms according to the statistical characteristic of wavelet subbands of an input image. We embed a logo watermark at the middle-frequency band for the robustness of it. The proposed method is a blind scheme, so we need only the water-marked image when the embedded watermark is extracted. We achieved PSNR values around 40dB as shown in the experiment results. It has very fast processing speed and also robust against attacks.

Original languageEnglish
Title of host publicationParallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings
Pages689-693
Number of pages5
Volume2005
DOIs
Publication statusPublished - 2005 Dec 1
Event6th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2005 - Dalian, China
Duration: 2005 Dec 52005 Dec 8

Other

Other6th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2005
CountryChina
CityDalian
Period05/12/505/12/8

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ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Byun, K., Lee, S., & Kim, H. (2005). A watermarking method using quantization and statistical characteristics of wavelet transform. In Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings (Vol. 2005, pp. 689-693). [1579008] https://doi.org/10.1109/PDCAT.2005.57