Digital Image Watermarking Based on Second Generation Wavelet Transform

Jian Quan Kong; De Quan Zhou

doi:10.4028/www.scientific.net/AMM.241-244.3026

Paper Titles

Prediction for Network Traffic Based on Modified Elman Neural Network
p.3005

3D Medical Images Registration Based on GPU Parallel Computing
p.3010

A Control Algorithm of LCD Dynamic Backlight Based on PSNR
p.3014

Model Checking for SpaceWire Error Detection Module
p.3020

Digital Image Watermarking Based on Second Generation Wavelet Transform
p.3026

Recognition of Surface Roughness Based on Fractal Theory and the Microscopic Images
p.3030

Fast Fractal Image Coding Method Based on RMSE and DCT Classification
p.3034

CIM/XML Format-Based SCADA Data Analysis and Application
p.3040

Video Splitting Based on Error-Distortion Computation Model
p.3047

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244Digital Image Watermarking Based on Second...

Digital Image Watermarking Based on Second Generation Wavelet Transform

Abstract:

Most of the watermarking techniques based on DWT technique embed watermarks into the detail (or middle frequency) coefficients of the host image for a good-trade-off between robustness and fidelity. But, in order to obtain the most robustness, the DC area (LL sub-band) may be a most suitable region for watermark embedding, as the signal energy of DC components is much bigger than that of high frequency sub-bands. A blind novel watermarking algorithm based on fast lifting wavelet transform, a kind of second generation wavelet transform, is proposed. Firstly, a multi-level discrete lifting wavelet transform is employed, and then the watermark is embedded into DC area of last level lifting wavelet transform according to amplitude modulation method with a secret key, lastly a watermarked image is obtained after lifting wavelet reconstruction to be applied. The results of experiments show that this algorithm is still effective after applying high compression ratio JPEG.