High capacity data embedding in the wavelet domain

Author

Sehgal, Anshul ; Jagmohan, Ashish ; Ahuja, Narendra

Author_Institution

Beckman Inst., Illinois Univ., Urbana, IL, USA

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

979

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

Keywords

code standards; data compression; data encapsulation; discrete cosine transforms; error statistics; image coding; matrix algebra; quantisation (signal); set theory; telecommunication standards; transform coding; trees (mathematics); wavelet transforms; BER; DCT domain; JPEG image compression; JPEG quantization matrix; PSNR; SPIHT; data embedding algorithms; data hiding; distortion control; high capacity data embedding; perceptual masking; set partitioning in hierarchical trees; wavelet domain; Discrete cosine transforms; Image coding; PSNR; Partitioning algorithms; Quantization; Robustness; Steganography; Streaming media; Transform coding; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958289

Filename

958289