使用LBC格式压缩医学图像的比较研究

2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 1900-01-01 DOI:10.1109/SAMI.2017.7880285

Ildiko-Angelica Szoke, V. Stoicu-Tivadar, D. Lungeanu

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引用次数: 0

摘要

本文对[11]提出的局部二进制压缩格式(Local Binary Compressed format, LBC)图像压缩技术与目前使用的标准图像压缩技术(BMP、JPEG、PNG和GIF)进行了比较研究。这项研究是针对需要长时间存储的大型医学图像进行的。在这项研究中，最常用的医学图像类型是:x射线和超声波图像。使用图像质量索引类型结构相似指数(SSIM)证明了图像格式LBC的有效表示。

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A comparative study of using the LBC format for compressing medical images

The article performs a comparative study between the image compression technique Local Binary Compressed format (LBC) proposed by the authors [11] and the standard image compression techniques used today (BMP, JPEG, PNG and GIF). The study is carried out for large medical images that need to be stored for longer periods of time. In the study, the most common types of medical images used are: X-rays and ultrasounds images. The effective representation of image format LBC is proven using an image quality index type, the Structural Similarity Index (SSIM).

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2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI)

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