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  • 标题:Medical Image Compression Techniques using Lossless Methods: A Review
  • 本地全文:下载
  • 作者:Prashant ; Sarika Gupta
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:2
  • 页码:358-361
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Digital medical imaging systems like Picture Archiving and Communication System (PACS) has become a crucial tool supporting both decision making and treatment procedures in medical environments. Advantages come from reduced storage and management costs associated with image data and increased intra and interinstitutional portability of data in communication networks. One of the most important benefits of the digital medical image is that it allows the widespread sharing and remote access to medical data by outside institutions. Mass storage and digital communication systems costs are continuously decreasing, but, as individual digital medical studies become significantly larger, requirements for transmission bandwidth and data storage capacity still exceed available technologies. Image compression algorithms offer the means to minimize storage cost and to increase transmission speed. In medical imaging, lossy compression schemes are not used due to possible loss of useful clinical information and as operations like enhancement may lead to further degradations in the lossy compression. Hence there is a need for efficient lossless schemes for medical image data. Several lossless compression schemes have been proposed.This paper provides a comparison about the application of Digital Imaging and Communication inMedicine (DICOM) lossless compression standards on medical images. This paper gives a brief description about the various lossless algorithms and advancements in this field.
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