Title :
A 9/7 wavelet-based lossless data hiding
Author :
Huang, Hui-Yu ; Chang, Shih-Hsu
Author_Institution :
Dept. of Comput. Sci. & Inf. Sci., Nat. Formosa Univ., Yunlin, Taiwan
Abstract :
In this paper, a lossless data-hiding approach is presented based on quantized coefficients of discrete wavelet transform (DWT) in the frequency domain to embed secret message. Using the quantized coefficients for 9/7 wavelet filter in DWT, we embed secret data into the successive zero coefficients of the medium-high frequency components in each reconstructed block for 3-level 2-D DWT of a cover-image. The procedures of the proposed system include embedment, extraction, and restoration. Experimental results show that the proposed method can achieve high embedding capacity and acceptable image quality of stego-image, and data reversibility.
Keywords :
discrete wavelet transforms; image coding; steganography; 9/7 wavelet filter; DWT; data reversibility; discrete wavelet transform; embedment; extraction method; image quality; lossless data hiding; restoration method; stego-image; Data mining; Discrete cosine transforms; Discrete wavelet transforms; Image quality; Image restoration; Quantization; 9/7 wavelet filter; Discrete wavelet transform (DWT); lossless data hiding; stego-image;
Conference_Titel :
Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9913-7
DOI :
10.1109/CIMSIVP.2011.5949236
