image compression coding algorithms 图像压缩编码算法
With the increase of resolution of satellite image, higher performance image compression algorithms are in demand.
随着卫星图像分辨率的不断提高,需要更优秀的高性能的图像压缩算法。
At last, by generalizing our spherical parameterization algorithm and adaptive sampling scheme to the planar case, we can adopt image compression algorithms to compress geometric signals.
最后,通过把球面参数化算法和自适应采样算法扩展到平面,我们提出一种基于传统图像压缩技术的几何信号压缩算法。
The experimental results show that this correlative algorithm has enhanced the compression ratio under the same condition, comparing with current medical MRI image compression algorithms.
实验结果表明,与现有医学MRI图像压缩算法比较,在相同条件下本文算法的压缩效果有一定提高。
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