Mean-Classified and Hierarchical Block Matching watermarking in Fractal Coding

Jing Ming Guo*, Chung Te Yang, Jiann Der Lee

*Corresponding author for this work

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

Abstract

This study presents two watermarking approaches in fractal coding images. The first method, namely Mean-Classified Fractal Coding (MCFC), partitions the domain blocks of an image into groups according the mean values. As documented in experimental results, a high embedding capacity can be achieved with good image quality. Moreover, the MCFC is proved of highly robust to against many types of attacks, including JPEG, tampering, and rotating. The second method, namely Hierarchical Block Matching Fractal Coding (HBMFC), utilizes different domain block sizes to enlarge the searching pool with slightly sacrificing the coding gain. The HBMFC is mainly adapted to fragile watermarking, which can be applied to authentication application to prevent from illegal alteration.

Original languageEnglish
Title of host publicationProceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008
Pages485-488
Number of pages4
DOIs
StatePublished - 2008
Event2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008 - Harbin, China
Duration: 15 08 200817 08 2008

Publication series

NameProceedings - 2008 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008

Conference

Conference2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing, IIH-MSP 2008
Country/TerritoryChina
CityHarbin
Period15/08/0817/08/08

Keywords

  • Domain block
  • Fractal Coding
  • Hierarchical Block Matching Fractal Coding
  • Mean-Classified Fractal Coding
  • Range block
  • Watermarking

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