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A Lossless Compression Method for Medical Image Sequences Using JPEG-LS and Interframe Coding

机译:基于JPEG-LS和帧间编码的医学图像序列无损压缩方法

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摘要

Hospitals and medical centers produce an enormous amount of digital medical images every day, especially in the form of image sequences, which requires considerable storage space. One solution could be the application of lossless compression. Among available methods, JPEG-LS has excellent coding performance. However, it only compresses a single picture with intracoding and does not utilize the interframe correlation among pictures. Therefore, this paper proposes a method that combines the JPEG-LS and an interframe coding with motion vectors to enhance the compression performance of using JPEG-LS alone. Since the interframe correlation between two adjacent images in a medical image sequence is usually not as high as that in a general video image sequence, the interframe coding is activated only when the interframe correlation is high enough. With six capsule endoscope image sequences under test, the proposed method achieves average compression gains of 13.3$%$ and 26.3 $%$ over the methods of using JPEG-LS and JPEG2000 alone, respectively. Similarly, for an MRI image sequence, coding gains of 77.5$%$ and 86.5$%$ are correspondingly obtained.
机译:医院和医疗中心每天都会产生大量的数字医学图像,尤其是以图像序列的形式,这需要大量的存储空间。一种解决方案是无损压缩的应用。在可用的方法中,JPEG-LS具有出色的编码性能。但是,它仅使用帧内编码压缩单个图片,而不利用图片之间的帧间相关性。因此,本文提出了一种将JPEG-LS和帧间编码与运动矢量相结合的方法,以提高单独使用JPEG-LS的压缩性能。由于医学图像序列中的两个相邻图像之间的帧间相关性通常不如普通视频图像序列中的帧间相关性高,因此仅当帧间相关性足够高时才激活帧间编码。通过测试六个胶囊内窥镜图像序列,与单独使用JPEG-LS和JPEG2000的方法相比,所提出的方法分别获得了13.3 %%和26.3 %%的平均压缩增益。类似地,对于MRI图像序列,相应地获得了77.5%和86.5%的编码增益。

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