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Full-frame entropy coding for radiological image compression

机译:用于放射图像压缩的全帧熵编码

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The discrete cosine transform (DCT) type algorithm is a leading technique in irreversible image compression. The full-frame bit-allocation (FFBA) technique based on DCT has been proven to be an outstanding compression method for radiological image. A new version of this technique, which discards the bit-table and uses entropy coding instead of bit-packing, FFEC, has recently been developed. The results showed that the new method improves compression ratio by a factor of two (e.g., 24:1 vs. 13:1) with a controlled mean-square-error. With the same compression ratio, the FFEC produces about 50% less error than does FFBA. The FFEC has been tested and results are demonstrated in this paper along with FFBA and the splitting and remapping method. This new method is characterized as a simple, error controllable, and highly efficient compression technique.
机译:离散余弦变换(DCT)类型算法是不可逆图像压缩的领先技术。基于DCT的全帧位分配(FFBA)技术已被证明是放射图像的出色压缩方法。最近开发了最近丢弃该技术的新版本,并最近丢弃了比特表并使用熵编码而不是比特包装。结果表明,新方法通过受控平均误差提高了两倍(例如,24:1,13:1)的压缩比。具有相同的压缩比,FFEC产生比FFBA的误差减少约50%。已经测试了FFEC,并在本文中与FFBA和分裂和重新映射方法进行了结果。这种新方法的特点是简单,误差可控和高效的压缩技术。

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