Wavelet-based high-capacity lossless image hiding and its application

Yizhan Zheng, Chengyun Yang, Guorong Xuan, Liansheng Liu, Weizhao Bai, Yunqing Shi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


This paper presents an integer wavelet-based invertible high-capacity data-hiding method for digital images. According to the frequency sensibility result of HVS study, high capacity (up to 1/2 of the data volume that original image occupies) secret information can be hidden into the least significant bit-planes of wavelet coefficients. Histogram modification is introduced to meet overflow/underflow in inverse wavelet transformation. As multi-resolution and correlation decomposition, which are the superiority of wavelet decomposition, are fully employed, this method can achieve both high-capacity and low distortion. The proposed data-hiding method is applied to E-government and good result is achieved.

Original languageEnglish (US)
Pages (from-to)56-59
Number of pages4
JournalJisuanji Gongcheng/Computer Engineering
Issue number1
StatePublished - Jan 5 2005

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design


  • E-government
  • High capacity
  • Integer wavelet
  • Invertible data hiding


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