若干平滑和插值方法对图像空间分辨力估算的影响

图像空间分辨力是图像质量评估中的一个重要指标，而对图像空间分辨力的估算通常采用调制传递函数（ＭＩＦ）解算。由于图像噪声的存在和采样数据的离散性，平滑和插值是必不可少的两个环节，因此，平滑和插值算法的好坏直接影响最后的评估结果。采用了两种最常用的平滑算法和两种插值算法，并按８种实验方案对两幅典型的图像进行了实验对比研究，获得了这两种算法对图像空间分辨力评估的影响机理，从而遴选出了较好的平滑和插值算法

The Effect of Several Smoothness and Interpolation Algorithm on Image Spatial Resolution Evaluation

Spatial resolution is an important index in image quality evaluation. Modulation Transfer Function (MTF) is usually used to estimate the spatial resolution fo an image. Because of the image noise and the dispersion character of the sample data, smoothness and interpolation are two necessary links. Thus, the algorithm of smoothness and interpolation will directly affects the result of evaluation. Two algorithms of smoothness and two algorithms of interpolation have been applied to the experiments of evaluating two typical imagery according to eight experiment schemes. The influence machnism of the algorithms on image spatial resolution evaluation has been achieved, and a better algorithm of smoothness and a better algorithm of interpolation have been selected.