Huffman Coding Medical Image Watermarking with Compressive Sensing L1 Norm

Abstract

In this study, we propose compressive sensing (CS) and 2D-DCT Huffman coding for medical image watermarking. The methods used are CS, L1 Norm, 2D-DCT, Huffman coding and discrete wavelet transform (DWT). Experiment results show that images have SSIM = 1 for the system without attacks which indicates that the decompressed image will be exactly the same as the original image before being compressed. Our system is added by several attacks, namely JPEG compression, rotate, scaling, filter, AWGN, and salt & pepper. System added with attacks have the best SSIM = 1, BER = 0.0146 and PSNR = 57.1702 dB.