文章基本信息

标题：An Enhencment Medical Image Compression Algorithm Based on Neural Network
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作者：Manel Dridi ; Mohamed Ali Hajjaji ; Belgacem Bouallegue 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2016
卷号：7
期号：5
DOI：10.14569/IJACSA.2016.070565
出版社：Science and Information Society (SAI)
摘要：The main objective of medical image compression is to attain the best possible fidelity for an available communication and storage [6], in order to preserve the information contained in the image and does not have an error when they are processing it. In this work, we propose a medical image compression algorithm based on Artificial Neural Network (ANN). It is a simple algorithm which preserves all the image data. Experimental results performed at 8 bits/pixels and 12bits/pixels medical images show the performances and the efficiency of the proposed method. To determine the ‘acceptability’ of image compression we have used different criteria such as maximum absolute error (MAE), universal image quality (UIQ), correlation and peak signal to noise ratio (PSNR).
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Artificial Neural Network; medical image; compression; DICOM; PSNR; CR