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Full-frame entropy coding for radiological image compression

机译:全帧熵编码用于放射图像压缩

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Abstract: 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:摘要: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的全帧比特分配(FFBA)技术已被证明是一种出色的放射图像压缩方法。最近已经开发了该技术的新版本,该版本放弃了位表并使用熵编码代替位打包,即FFEC。结果表明,新方法将压缩率提高了两倍(例如24:1对13:1),并且均方误差得到了控制。在相同压缩率的情况下,FFEC产生的误差比FFBA少约50%。 FFEC已经过测试,结果与FFBA以及拆分和重新映射方法一起得到了证明。这种新方法的特点是一种简单,可控错误且高效的压缩技术。 !

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