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Non-Transform Methods of Picture Compression Applied to Medical Images

机译:图片压缩的非变换方法在医学图像中的应用

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摘要

A variant of differential pulse code modulation (DPCM), bounded differential and shift encoding, is tested on a set of medical images. The 512 × 512 8-bit pixel images were digitized from film plates. The pixel and pixel difference distributions of the digital images were analyzed along with the entropy of these images. One version of the bounded differential and shift encoding method was tested along with several variants using additional quantization. The tests included measurements of the amount of data compression and the error introduced by quantization. The results demonstrate compression in the range of 3 - 5 bits per pixel and mean square error in the range .003% to .6%. Comparison with several non-causal methods shows that the coding method tested offers less compression, but less error combined with simpler implementation.
机译:在一组医学图像上测试了差分脉冲编码调制(DPCM),有界差分和移位编码的变体。 512×512个8位像素图像从胶片板上数字化。分析了数字图像的像素和像素差异分布以及这些图像的熵。使用额外的量化方法,测试了有界差分和移位编码方法的一种版本以及几种变体。测试包括数据压缩量的测量和量化引入的误差。结果表明,压缩率在每个像素3-5位的范围内,均方误差在0.003%至0.6%的范围内。与几种非因果方法的比较表明,所测试的编码方法提供了更少的压缩,但是结合了更简单的实现却减少了错误。

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