Application of the DCT and Arithmetic Coding to Medical Image Compression

D. Chikouche, R. Benzid, M. Bentoumi
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引用次数: 19

Abstract

This paper presents an application of the discrete cosine transform compression technique on medical images of the IRM type. The arithmetic coding method is used to encode the coefficients. The tests of this lossy compression/ decompression technique are performed on two IRM images representing the brain, in axial and sagital views, of a patient suffering from a cerebral hemorhage. The obtained results on these images show that the DCT technique permits to considerably improve the compression rate while mainting a good image quality when threshold varies in the interval: 0 les TH les 20 for bloc sizes: [16times16] and [32times32]. However, a severe degradation of the quality of the reconstructed medical image is observed when the threshold is greater than 30.
DCT和算术编码在医学图像压缩中的应用
本文介绍了离散余弦变换压缩技术在IRM型医学图像中的应用。采用算术编码方法对系数进行编码。该有损压缩/减压技术的测试是在脑出血患者的两张IRM图像上进行的,在轴位和矢状位上显示大脑。在这些图像上得到的结果表明,当阈值在区间内变化时,DCT技术可以显著提高压缩率,同时保持良好的图像质量:对于块大小:[16times16]和[32times32],阈值为0 ~ 20。然而,当阈值大于30时,观察到重建医学图像的质量严重下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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