High capacity data embedding in the wavelet domain

A. Sehgal, A. Jagmohan, N. Ahuja

Research output: Contribution to conferencePaper

Abstract

A novel solution to the problem of data embedding in images is proposed in this paper. The proposed algorithm allows high capacity data embedding and is robust to JPEG image compression. Data is embedded in the wavelet domain which provides better perceptual masking compared to the DCT domain. Set Partitioning in Hierarchical Trees (SPIHT) is used to control the distortion (in the sense of PSNR) in the embedded host. Unlike other data embedding algorithms available in literature, the proposed algorithm provides control over the BER of the embedded data by appropriately choosing the JPEG quantization matrix. Preliminary results of an implementation of the algorithm are also presented.

Original languageEnglish (US)
Pages979-982
Number of pages4
StatePublished - Jan 1 2001
EventIEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece
Duration: Oct 7 2001Oct 10 2001

Other

OtherIEEE International Conference on Image Processing (ICIP)
CountryGreece
CityThessaloniki
Period10/7/0110/10/01

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'High capacity data embedding in the wavelet domain'. Together they form a unique fingerprint.

  • Cite this

    Sehgal, A., Jagmohan, A., & Ahuja, N. (2001). High capacity data embedding in the wavelet domain. 979-982. Paper presented at IEEE International Conference on Image Processing (ICIP), Thessaloniki, Greece.