Compressive Sensing in the Huffman Coding DWT SVD Medical Image Watermarking

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 0.23 and the best PSNR value of 56.5 dB.