压缩感知在Huffman编码DWT SVD医学图像水印中的应用

2018 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC) Pub Date : 2018-12-01 DOI:10.1109/ICCEREC.2018.8712085

Irvan Ragil Boesandi, Irma Safitri, E. Suhartono

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引用次数: 1

摘要

在这项研究中，我们提出了霍夫曼编码和压缩感知(CS)的医学图像水印。使用的方法有霍夫曼编码、CS、离散小波变换和奇异值分解。实验结果表明，当SSIM值为1时，图像一般可以压缩50%以上，并且在解压缩时是无损的。系统的最佳MSE值为0.23，最佳PSNR值为56.5 dB。

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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.

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2018 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)

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