High capacity lossless data hiding based on integer wavelet transform

Guorong Xuan, Yun-Qing Shi, Z. C. Ni, Jidong Chen, Chengyun Yang, Yizhan Zhen, Junxiang Zheng

Research output: Contribution to journalConference articlepeer-review

30 Scopus citations

Abstract

This paper proposes a novel approach to high capacity lossless data hiding based on integer wavelet transform, which embeds high capacity data into the most insensitive bit-planes of wavelet coefficients. Specifically, three high capacity lossless data hiding methods, namely A, B and C are proposed. Method A is the traditional lossless data hiding technique, which can losslessly recover the original image. The capacity can reach 1/10 of the data volume that the original image occupies and histogram modification is used to prevent over/underflow. Method B is not a traditional lossless data hiding technique. It can only losslessly recover the pre-processed image instead of the original image. However, the capacity can reach 1/2 of the data volume that the original image occupies. It has better visual quality than replacing the four least significant bit-planes in the spatial domain. Method C has not only the larger capacity but also better visual quality than Method B. However, it can only losslessly recover the hidden data. These three methods passed through the test on all 1096 images of CorelDraw database. These techniques can be applied to e-government, e-business, e-medical data system, e-law enforcement and military system.

Original languageEnglish (US)
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume2
StatePublished - Sep 7 2004
Event2004 IEEE International Symposium on Cirquits and Systems - Proceedings - Vancouver, BC, Canada
Duration: May 23 2004May 26 2004

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Keywords

  • High capacity data hiding
  • Histogram modification
  • Integer wavelet transform
  • Pre-processing

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