We present an image processing algorithm based on edge extension to correct the influence of atmospheric dispersion. The\nElden model is used to estimate the image dispersion index caused by atmospheric dispersion and the image affected by the\natmospheric dispersion is regarded as the results of the original image convolution operation. When the direct convolution is\nused to compensate the blur of star, border effect and ill-posed problem make the result unacceptable. To solve these problems,\nwe use image preprocessing and perform an edge extension method for images before the convolution. The simulated analysis\nand experimental results from a 300 mm telescope system show that the proposed method can effectively correct the influence of\natmospheric dispersion even under relatively low signal to noise ratio (SNR<2). Compared with the traditional prism correction\nand fiber correction methods, this technique can greatly reduce the complexity of the optical system.
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