蒙版运动自适应医学图像编码

Imen Mhedhbi, Fayez Kaddouh, K. Hachicha, D. Heudes, S. Hochberg, P. Garda
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引用次数: 12

摘要

我们将蒙版运动检测算法与waves自适应压缩算法(产生mmwaves)和JPEG2000编码器(产生MMJPEG2000)相结合,用于压缩医学图像序列。使用waves、mmwaves和MMJPEG2000对若干图像进行压缩,观察哪种工具在保持高压缩比的同时提供最佳的视觉质量。与wave相比,毫米波在CT扫描和MRI扫描中分别获得了40%和50%的压缩增益。压缩图像的SSIM值在0.96 ~ 0.988之间,PSNR值均大于42。此外,毫米波的性能也优于MMJPEG2000。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mask motion adaptive medical image coding
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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