Dept. of Electr. & Comput. Eng., Calgary Univ., Alta.
IEEE Trans Med Imaging. 1992;11(3):430-45. doi: 10.1109/42.158947.
The performances of a number of block-based, reversible, compression algorithms suitable for compression of very-large-format images (4096x4096 pixels or more) are compared to that of a novel two-dimensional linear predictive coder developed by extending the multichannel version of the Burg algorithm to two dimensions. The compression schemes implemented are: Huffman coding, Lempel-Ziv coding, arithmetic coding, two-dimensional linear predictive coding (in addition to the aforementioned one), transform coding using discrete Fourier-, discrete cosine-, and discrete Walsh transforms, linear interpolative coding, and combinations thereof. The performances of these coding techniques for a few mammograms and chest radiographs digitized to sizes up to 4096x4096 10 b pixels are discussed. Compression from 10 b to 2.5-3.0 b/pixel on these images has been achieved without any loss of information. The modified multichannel linear predictor outperforms the other methods while offering certain advantages in implementation.
比较了几种基于块的、可逆的压缩算法的性能，这些算法适用于压缩非常大格式的图像（4096x4096 像素或更多），并与一种新的二维线性预测编码器的性能进行了比较，该编码器通过将 Burg 算法的多通道版本扩展到二维来开发。实现的压缩方案包括：哈夫曼编码、Lempel-Ziv 编码、算术编码、二维线性预测编码（除了前面提到的一种）、使用离散傅里叶变换、离散余弦变换和离散沃尔什变换的变换编码、线性内插编码以及它们的组合。讨论了这些编码技术对于一些数字化至 4096x4096 10 b 像素大小的乳房 X 光片和胸部 X 光片的性能。在不损失任何信息的情况下，这些图像的压缩从 10 b 到 2.5-3.0 b/像素。改进后的多通道线性预测器在实现方面具有某些优势，性能优于其他方法。
