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  • 标题:Implementation of Novel Medical Image Compression Using Artificial Intelligence
  • 本地全文:下载
  • 作者:Mohammad Al-Rababah ; Abdusamad Al-Marghirani
  • 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.2016.070544
  • 出版社:Science and Information Society (SAI)
  • 摘要:The medical image processing process is one of the most important areas of research in medical applications in digitized medical information. A medical images have a large sizes. Since the coming of digital medical information, the important challenge is to care for the conduction and requirements of huge data, including medical images. Compression is considered as one of the necessary algorithm to explain this problem. A large amount of medical images must be compressed using lossless compression. This paper proposes a new medical image compression algorithm founded on lifting wavelet transform CDF 9/7 joined with SPIHT coding algorithm, this algorithm applied the lifting composition to confirm the benefit of the wavelet transform. To develop the proposed algorithm, the outcomes compared with other compression algorithm like JPEG codec. Experimental results proves that the anticipated algorithm is superior to another algorithm in both lossy and lossless compression for all medical images tested. The Wavelet-SPIHT algorithm provides PSNR very important values for MRI images.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Medical image; lossless Compression; lifting wavelets; CDF9/7; Lifting scheme; SPIHT coding
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