Performance Optimization of Wavelet Based Digital Image Watermarking Using Genetic Algorithm

Abstract

Nowadays, Watermarking plays a vital role in the world. In this paper, we propose a digital image watermarking technique using wavelet based transforms. The watermark is embedded to the transform coefficients larger than some threshold values. Genetic algorithm (GA) based optimization technique is implemented, in order to find the optimal threshold values. This method is more secure and robust to attacks. We compare the genetic based experimental results with conventional Discrete Wavelet Transform (DWT) and Packet Wavelet Transform (PWT).