A comparison of lossless compression methods for medical images.
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.
Kivijärvi
J
J
Turku Centre for Computer Science, Department of Computer Science, University of Turku, Finland.
Ojala
T
T
Kaukoranta
T
T
Kuba
A
A
Nyúl
L
L
Nevalainen
O
O
D003196:Computer Graphics; D003628:Database Management Systems; D019992:Databases as Topic; D003952:Diagnostic Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging; D011873:Radiology Information Systems; D011877:Radionuclide Imaging; D014057:Tomography, X-Ray Computed; D014463:Ultrasonography