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Mask Motion Adaptive medical image coding

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.
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https://hal.archives-ouvertes.fr/hal-01206315
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Submitted on : Monday, September 28, 2015 - 5:43:10 PM
Last modification on : Tuesday, January 12, 2021 - 9:38:02 AM

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Imen Mhedhbi, Kaddouh Fayez, Khalil Hachicha, Didier Heudes, Sylvain Hochberg, et al.. Mask Motion Adaptive medical image coding. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2014, Jun 2014, Valence, Spain. pp.408-411, ⟨10.1109/BHI.2014.6864389⟩. ⟨hal-01206315⟩

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