According to applied compared and experimental analyzed effective, comparison of several interpolation algorithms, such as smooth hue transition interpolation, edge detection interpolation, pattern recognition interpolation, established the sam-ple edge matching the image processing, proved significant image' s quality improvement and better reversion results. Conclu-sion, the adaptive pattern recognition interpolation method are applied in scientific experiments in space effectiveness.%通过对非自适应的双线性插值法、平滑色调转换插值法、边缘检测插值法、基于模式识别的插值法等几种复杂的保边缘效果更好的插值算法进行应用比较和实验分析,建立了基于模式识别的自适应插值方法的图像边缘样本模型,该方法在匹配图像边缘的基础上进行自适应的插值,取得了最好的复原效果,从而证明了其在空间科学实验应用中的有效性.
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