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

Yizhan Zheng, Chengyun Yang, Guorong Xuan, Liansheng Liu, Weizhao Bai, Yun-Qing 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
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software


Dive into the research topics of 'Wavelet-based high-capacity lossless image hiding and its application'. Together they form a unique fingerprint.

Cite this