Wavelet Huffman Coding Image Watermarking in the Presence of Compressive Sensing

Abstract

In this study, we propose Huffman coding and compressive sensing (CS) for medical image watermarking. The methods used are Huffman coding, CS, discrete wavelet transform (DWT) and singular value decomposition (SVD). Experiment results show that images can be compressed generally above 50% and are lossless at the time of decompression by having the SSIM value of 1. Our system have the best MSE value of 0.172686 and the best PSNR value of 55.7582 dB.