Kivijärvi J, Ojala T, Kaukoranta T, Kuba A, Nyúl L, Nevalainen O
Turku Centre for Computer Science, Department of Computer Science, University of Turku, Finland.
Comput Med Imaging Graph. 1998 Jul-Aug;22(4):323-39. doi: 10.1016/s0895-6111(98)00042-1.
In this work, lossless grayscale image compression methods are compared on a medical image database. The database contains 10 different types of images with bit rates varying from 8 to 16 bits per pixel. The total number of test images was about 3000, originating from 125 different patient studies. Methods used for compressing the images include seven methods designed for grayscale images and 18 ordinary general-purpose compression programs. Furthermore, four compressed image file formats were used. The results show that the compression ratios strongly depend on the type of the image. The best methods turned out to be TMW, CALIC and JPEG-LS. The analysis step in TMW is very time-consuming. CALIC gives high compression ratios in a reasonable time, whereas JPEG-LS is nearly as effective and very fast.
在这项工作中，在一个医学图像数据库上对无损灰度图像压缩方法进行了比较。该数据库包含10种不同类型的图像，其比特率从每像素8位到16位不等。测试图像的总数约为3000张，来自125个不同的患者研究。用于压缩图像的方法包括七种针对灰度图像设计的方法和18个普通通用压缩程序。此外，还使用了四种压缩图像文件格式。结果表明，压缩率强烈依赖于图像类型。最好的方法是TMW、CALIC和JPEG-LS。TMW中的分析步骤非常耗时。CALIC在合理的时间内给出了高压缩率，而JPEG-LS几乎同样有效且非常快。
