为了提高重建图像质量,对敏感场分布进行分析是非常必要的。
To improve the quality of image reconstruction, it is necessary to analyze the distribution of sensitivity field.
实验结果表明,对富含直线边缘的图像来说,与小波图像编码算法相比,该算法获得了较高的边缘重建质量。
Experimental results show that for the straight line-rich images this algorithm can get better edge reconstruction quality compared with the traditional wavelet-based image coding.
通过比较分析几种常用的插值算法,采用基于灰度的线性插值方法对断层图像进行插值,有效地提高了三维重建的质量。
After comparing and analyzing several commonly used interpolation algorithms, we use the linear gray-based slice-image interpolation method to improve the quantity of 3d visualization.
通过比较分析几种常用的插值算法,采用基于灰度的线性插值方法对断层图像进行插值,有效地提高了三维重建的质量。
After comparing and analyzing several commonly used interpolation algorithms, we use the linear gray-based slice-image interpolation method to improve the quantity of 3d visualization.
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