A lossless image compression method with the reversible data embedding capacity

Ju Yuan Hsiao, Zhi Yu Xu

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

Abstract

The current reversible data embedding techniques can be divided into 2 categories: those developed by the untreated original images and those developed by the images treated via the lossy compression as the reversible target. So far, there has not been any literature discussing the issue of the reversible data embedding action finished during the lossless still image compression. Our method employs Chuang and Lin's simplified lossless image compression method to develop a reversible data embedding technique. Our method successfully embeds the secret data in the lossless image compression codes and have the secret data reversed to the original image as the secret data are retrieved wherefrom. According to the experimental results, the proposed method performs well on the embedding capacity and compression effects.

Original languageEnglish
Title of host publicationSIGMAP 2009 - International Conference on Signal Processing and Multimedia Applications, Proceedings
Pages27-32
Number of pages6
Publication statusPublished - 2009 Dec 1
EventSIGMAP 2009 - International Conference on Signal Processing and Multimedia Applications - Milan, Italy
Duration: 2009 Jul 72009 Jul 10

Publication series

NameSIGMAP 2009 - International Conference on Signal Processing and Multimedia Applications, Proceedings

Other

OtherSIGMAP 2009 - International Conference on Signal Processing and Multimedia Applications
CountryItaly
CityMilan
Period09-07-0709-07-10

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All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Signal Processing

Cite this

Hsiao, J. Y., & Xu, Z. Y. (2009). A lossless image compression method with the reversible data embedding capacity. In SIGMAP 2009 - International Conference on Signal Processing and Multimedia Applications, Proceedings (pp. 27-32). (SIGMAP 2009 - International Conference on Signal Processing and Multimedia Applications, Proceedings).