PRZEGLĄD METOD BEZSTRATNEJ KOMPRESJI OBRAZÓW MEDYCZNYCH

Streszczenie. Niniejszy artykul zawiera zwarty przegląd algorytmow z zakresu bezstratnej kompresji statycznych obrazow medycznych. Uwzgledniono zarowno agorytmy, ktore uznawane są za standardy w medycznych systemach skladowania i transmisji obrazow, jak rowniez inne algorytmy praktycznie stosowane do kompresji takich danych. Przedstawiono rowniez ogolną charakterystyke klas obrazow medycznych, wyrozniając te cechy omawianych klas obrazow, ktore są istotne przy konstrukcji lub wyborze algorytmu kompresji obrazow nalezących do tych klas. Slowa kluczowe: bezstratna kompresja obrazow medycznych, CT, X-ray, MR, USG, PACS, DICOM, RLE, JPEG, JPEG-LS, JPEG 2000 Summary. In this paper we present a brief overview of lossless medical image compression algorithms. We overview both algorithms that are considered to be standards in medical image transmitting and archiving systems and other algorithms used for compressing medical images. We also generally describe main classes of medical images, distinguishing features that are crucial in development and selection of algorithms appropriate for compressing images belonging to those classes.

[1]  Guillermo Sapiro,et al.  The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS , 2000, IEEE Trans. Image Process..

[2]  John A. Robinson,et al.  Efficient general-purpose image compression with binary tree predictive coding , 1997, IEEE Trans. Image Process..

[3]  Glen G. Langdon,et al.  On the JPEG model for lossless image compression , 1992, Data Compression Conference, 1992..

[4]  R. Starosolski Algorytmy bezstratnej kompresji obrazów , 2002 .

[5]  William A. Pearlman,et al.  Reversible image compression via multiresolution representation and predictive coding , 1993, Other Conferences.

[6]  Ian H. Witten,et al.  Managing gigabytes , 1994 .

[7]  Touradj Ebrahimi,et al.  Christopoulos: Thc Jpeg2000 Still Image Coding System: an Overview the Jpeg2000 Still Image Coding System: an Overview , 2022 .

[8]  Guillermo Sapiro,et al.  LOCO-I: a low complexity, context-based, lossless image compression algorithm , 1996, Proceedings of Data Compression Conference - DCC '96.

[9]  Michael W. Marcellin,et al.  An overview of JPEG-2000 , 2000, Proceedings DCC 2000. Data Compression Conference.

[10]  David A. Clunie,et al.  Lossless compression of grayscale medical images: effectiveness of traditional and state-of-the-art approaches , 2000, Medical Imaging.

[11]  Guillermo Sapiro,et al.  From LOGO-I to the JPEG-LS standard , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[12]  Gregory K. Wallace,et al.  The JPEG still picture compression standard , 1991, CACM.

[13]  K. Denecker,et al.  An experimental comparison of several lossless image coders for medical images , 1997, Proceedings DCC '97. Data Compression Conference.

[14]  M.J. Weinberger,et al.  Lossless compression of continuous-tone images , 2000, Proceedings of the IEEE.

[15]  P.G. Howard,et al.  Fast and efficient lossless image compression , 1993, [Proceedings] DCC `93: Data Compression Conference.

[16]  Xiaolin Wu An algorithmic study on lossless image compression , 1996, Proceedings of Data Compression Conference - DCC '96.

[17]  David S. Taubman,et al.  High performance scalable image compression with EBCOT , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[18]  Søren Forchhammer,et al.  Lossy/lossless coding of bi-level images , 1997, Proceedings DCC '97. Data Compression Conference.

[19]  Wilfried Philips,et al.  State of the art concerning Lossless Medical Image Coding , 1997 .

[20]  William A. Pearlman,et al.  An image multiresolution representation for lossless and lossy compression , 1996, IEEE Trans. Image Process..

[21]  Touradj Ebrahimi,et al.  The JPEG 2000 still image compression standard , 2001, IEEE Signal Process. Mag..