Title :
Medical images compression using statistical model for transmission and archiving
Author :
Eude, Th ; Cherifi, H. ; Grisel, R. ; Debrie, R.
Author_Institution :
Inst. Nat. des Sci. Appliques, Mont Saint Aignan, France
fDate :
27 Jun-1 Jul 1994
Abstract :
Shows that for medical images study, a mixture of Gaussian distributions provides the best fit for the majority of the non-zero coefficients, and using those conclusions, the quantification process can be improved compared to classical JPEG compression method
Keywords :
Gaussian distribution; data compression; discrete cosine transforms; image coding; medical image processing; statistical analysis; Gaussian distributions; archiving; images compression; medical images; nonzero coefficients; quantification process; statistical model; transmission; Biomedical imaging; Discrete cosine transforms; Gaussian distribution; Gaussian processes; Image coding; Lungs; Medical diagnostic imaging; Signal processing; Testing; Transform coding;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.395037
