An Overview of Digital Watermarking with a Performance Analysis of Wavelet Families for Image Compression

摘要

Objectives: This paper incorporates an outline of digital watermarking and further deals with the performance analysis of wavelet families. Methods: Discrete wavelet transform is an effective technique used in an extensive range of applications in signal manipulation like de-noising, compression etc., HAAR, DAUBECHIES, SYMLET and BIORTHOGONAL are some of the wavelet families discussed in this paper. Performance of these families are scrutinized based on the parameters namely MSE, PSNR, BPP and compression ratio. MATLAB R2012 is used to examine the performance using an image of size (126 x 226). Findings: Evaluating the results of the four wavelet families, biorthogonal gives a better result with the compression ratio of 1.65 and MSE with 26.83 which gives a better compressed image than other wavelets. Applications/Improvement: Comparison of the four wavelet families has been analyzed and the better one has to be chosen to compress a watermarked image, since compression is the first step in watermarking and also each wavelet family is best under different criteria.