An automatic visible watermark detection method using total variation

Hector Santoyo-Garcia, Eduardo Fragoso-Navarro, Rogelio Reyes-Reyes, Gabriel Sanchez-Perez, Mariko Nakano-Miyatake, Hector Perez-Meana

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

15 Scopus citations

Abstract

Visible watermarking has been an important research area, widely studied and used for copyright protection over the years. However, new visible watermark removal-oriented attacks and techniques have emerged. Although these methods provide high quality resultant images, the main part of the attack consists of manual detection of the watermark pattern. Considering that visible watermark pattern can be different in each watermarked image, time-consuming human intervention is required, making these attacks inefficient in practice. In this paper, we propose an automatic detection method of visible watermark pattern, which can combine with conventional watermark removal attacks to make them more efficient. To accomplish it, the visible watermarked image is decomposed into structure image and texture image using Total Variation L1 (TV-L1) method. In the structure image, the watermark edge is discriminated from the edges present in the host image to automatically detect the visible watermark pattern.

Original languageEnglish
Title of host publicationProceedings - 2017 5th International Workshop on Biometrics and Forensics, IWBF 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509057917
DOIs
StatePublished - 26 May 2017
Event5th International Workshop on Biometrics and Forensics, IWBF 2017 - Coventry, United Kingdom
Duration: 4 Apr 20175 Apr 2017

Publication series

NameProceedings - 2017 5th International Workshop on Biometrics and Forensics, IWBF 2017

Conference

Conference5th International Workshop on Biometrics and Forensics, IWBF 2017
Country/TerritoryUnited Kingdom
CityCoventry
Period4/04/175/04/17

Keywords

  • Automatic detection
  • Image decomposition
  • Image recovery
  • Total variation
  • Visible watermarking
  • Watermark attacks

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