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Image restoration based on illumination correction

机译:基于照度校正的图像恢复

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摘要

Based on the analysis of resemble degradation character of the observed images, a fast image restoration algorithm using illumination correction is proposed in this paper. First, the fuzzy value of illumination parameters is estimated through fuzzy nonlinear regression method. Then, the whole damaged area can be restored by the whole-illumination correction method. The experimental results show that this algorithm has better ability in restoring both smooth area and edge-contained area. Compared with other image restoration algorithms, this method is better on the restoring time and the restoring effect.
机译:在分析观测图像相似退化特征的基础上,提出了一种基于光照校正的快速图像复原算法。首先,通过模糊非线性回归方法估算照明参数的模糊值。然后,可以通过整体照度校正方法恢复整个受损区域。实验结果表明,该算法在恢复平滑区域和边缘包含区域方面具有更好的能力。与其他图像复原算法相比,该方法在复原时间和复原效果上都更好。

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