A method for correcting illumination unevenness of solar image

Xiaona Fu, Kaifan Ji, Yunfei Yang, W. Duan, H. Deng, Xiaoli Zhang
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Abstract

Traditional correction methods can not be used to correct effectively the solar images with uneven illumination, such as the bilinear interpolation method. We adopt an improved algorithm that combine the background fitting method and the mask method. The algorithm consists of the following main steps: segmenting the image, selecting the sampling points, interpolating the sampling points, calculating the mask, correcting the image. By comparing four evaluation indicators of the corrected image, including the information entropy of the image, the mean brightness, the mean variance and the peak signal-to-noise ratio (PSNR), this improved algorithm is proved to be effectively in the solar images with uneven illumination.
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一种校正太阳像照度不均匀的方法
传统的校正方法如双线性插值法不能有效地校正光照不均匀的太阳图像。我们采用了一种将背景拟合法和掩模法相结合的改进算法。该算法包括以下几个主要步骤:图像分割、采样点选择、采样点插值、掩码计算、图像校正。通过对校正后图像的信息熵、平均亮度、平均方差和峰值信噪比(PSNR) 4个评价指标的比较,证明了改进算法在光照不均匀的太阳图像中是有效的。
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