Optimization of Robust Image Watermarking using Ensemble-Based Classifier

Abstract

The secure transmission of digital multimedia over the internet is a challenging task. For secure transmission of digital multimedia uses various methods such as encoding of data and digital watermarking in this paper proposed optimized watermarking methods based on the ensemble-based classifier. The ensemble-based classifier used two classifier decision tree and KNN. The process of ensemble classifier optimized the value of features and reduce the gap of the pixel difference between the source image and watermark image. The feature-based watermarking process used a discrete wavelet transform. The wavelet transforms more dominated feature of textures. The diverse space of texture features applied ensemble classifier to optimized the features of watermarking. The proposed algorithm implemented in MATLAB software and estimate standard parameters such as PSNR and NC. The proposed algorithm also tested on the geometrical attack to measure the strength of the proposed algorithm.