压缩感知L1范数的Huffman编码医学图像水印

2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE) Pub Date : 2018-11-01 DOI:10.1109/ICITISEE.2018.8721012

Rana Krisnanda, Irma Safitri, Achmad Rizal

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引用次数: 1

摘要

在这项研究中，我们提出压缩感知(CS)和2D-DCT霍夫曼编码用于医学图像水印。使用的方法有CS、L1范数、2D-DCT、霍夫曼编码和离散小波变换(DWT)。实验结果表明，在没有攻击的系统中，图像的SSIM = 1，这表明解压后的图像与压缩前的原始图像完全相同。我们的系统受到了几种攻击，即JPEG压缩、旋转、缩放、过滤器、AWGN和salt & pepper。添加攻击的系统SSIM = 1, BER = 0.0146, PSNR = 57.1702 dB。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Huffman Coding Medical Image Watermarking with Compressive Sensing L1 Norm

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.

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2018 3rd International Conference on Information Technology, Information System and Electrical Engineering (ICITISEE)

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