DocumentCode :
1767029
Title :
Mask motion adaptive medical image coding
Author :
Mhedhbi, Imen ; Kaddouh, Fayez ; Hachicha, Khalil ; Heudes, Didier ; Hochberg, Sylvain ; Garda, Patrick
Author_Institution :
LIP6, Sorbonne Univ., Paris, France
fYear :
2014
fDate :
1-4 June 2014
Firstpage :
408
Lastpage :
411
Abstract :
We combine a mask motion detection algorithm with both the WAAVES adaptive compression algorithm (resulting into MMWaaves) and a JPEG2000 coder (resulting into MMJPEG2000) for the compression of medical images sequences. Several images were compressed using Waaves, MMWaaves, and MMJPEG2000 to observe which tool provided the best visual quality while maintaining a high compression ratio. Compared to Waaves, the MMWaaves achieved compression gains up to 40% for CT scans and 50 % for MRI. In addition, the SSIM values attributed to the compressed images were between 0.96 and 0.988 while the PSNR values were higher than 42. In addition MMWaaves attained a superior performance than MMJPEG2000.
Keywords :
biomedical MRI; computerised tomography; data compression; image coding; image sequences; medical image processing; motion compensation; CT scans; JPEG2000 coder; MMJPEG2000; MMWaaves; MRI; PSNR values; WAAVES adaptive compression algorithm; computed tomography; magnetic resonance imaging; mask motion adaptive medical image coding; mask motion detection algorithm; medical image sequence compression; Computed tomography; Image coding; Magnetic resonance imaging; Medical diagnostic imaging; Motion detection; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location :
Valencia
Type :
conf
DOI :
10.1109/BHI.2014.6864389
Filename :
6864389
Link To Document :
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