A new blind adaptive watermarking method based on singular value decomposition

Yevhen Zolotavkin, Martti Juhola

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)

Abstract

A blind watermarking method on the basis of Singular Value Decomposition is proposed in this paper. Each bit of a watermark is being enclosed in 4x4 blocks. The method modifies the both left and right orthonormal matrices in order to embed a bit. A new embedding rule with adjustable parameters has been proposed for watermarking. The modification of orthonormal matrices is accomplished according to Van Elfrinkhof’s rotational model. Distortions of watermark embedding are minimized. A criterion of watermarking performance has been proposed that combines robustness and transparency. An adaptation on the basis of the criterion has been employed. Popular attacks have been applied and experimental results have been represented. The proposed watermarking method demonstrates better robustness toward some attacks in comparisonwith other known blind watermarking methods.
Original languageEnglish
Title of host publicationProceedings of 2013 International Conference on Sensor Network Security Technology and Privacy Communication System (SNS & PCS 2013)
Subtitle of host publication18-19 May 2013, Harbin, China
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages184-192
Number of pages9
ISBN (Print)9781467364522
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventInternational Conference on Sensor Network Security Technology and Privacy Communication System 2013 - International Students Apartment, Harbin, China
Duration: 18 May 201319 May 2013

Conference

ConferenceInternational Conference on Sensor Network Security Technology and Privacy Communication System 2013
Abbreviated titleSNS & PCS 2013
CountryChina
CityHarbin
Period18/05/1319/05/13

Cite this

Zolotavkin, Y., & Juhola, M. (2013). A new blind adaptive watermarking method based on singular value decomposition. In Proceedings of 2013 International Conference on Sensor Network Security Technology and Privacy Communication System (SNS & PCS 2013): 18-19 May 2013, Harbin, China (pp. 184-192). [6553862] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SNS-PCS.2013.6553862