Multiple Watermarking Based on DCT Coefficients Selection

Xiaochen Yuan, Xingrun Wang

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

Abstract

This paper proposes a multiple watermarking scheme based on Discrete Cosine Transform (DCT) coefficients selection. In the proposed method, the multiple watermarks are embedded into the low and / or middle frequency band in DCT domain of the image blocks. Firstly, the texture complexity is calculated, then based on that, two block selection methods are proposed to select the corresponding adjacent blocks. After that, embedding coefficients and reference coefficients are calculated and the multiple watermarks are embedded by adjusting the difference of projection of embedding coefficients and reference coefficients on the spreading vector. In this way, the embedding efficiency is thus improved. In the experiments, cover images of different texture complexity are used, and various attacks have been simulated for evaluation of the proposed watermarking scheme. Experimental results show that the proposed multiple watermarking scheme can achieve a satisfied performance.

Original languageEnglish
Title of host publicationProceedings - 2022 14th International Conference on Signal Processing Systems, ICSPS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages518-522
Number of pages5
ISBN (Electronic)9798350336313
DOIs
Publication statusPublished - 2022
Event14th International Conference on Signal Processing Systems, ICSPS 2022 - Virtual, Online, China
Duration: 18 Nov 202220 Nov 2022

Publication series

NameProceedings - 2022 14th International Conference on Signal Processing Systems, ICSPS 2022

Conference

Conference14th International Conference on Signal Processing Systems, ICSPS 2022
Country/TerritoryChina
CityVirtual, Online
Period18/11/2220/11/22

Keywords

  • DCT coefficients selection
  • embedding coefficients
  • multiple watermarking
  • reference coefficients
  • texture complexity

Fingerprint

Dive into the research topics of 'Multiple Watermarking Based on DCT Coefficients Selection'. Together they form a unique fingerprint.

Cite this