基于光照校正的图像恢复

2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA) Pub Date : 2011-12-01 DOI:10.1109/ICCIAUTOM.2011.6183954

Li-Jie Peng, Chen Jian-jun, Zhixiong Shi, Li Lin, Shi Zhi-yong

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引用次数: 0

摘要

在分析观测图像相似度退化特征的基础上，提出了一种基于照度校正的快速图像恢复算法。首先，通过模糊非线性回归方法估计照明参数的模糊值;然后，采用全照度校正方法对整个受损区域进行恢复。实验结果表明，该算法对光滑区域和边缘区域都有较好的恢复能力。与其他图像恢复算法相比，该方法在恢复时间和恢复效果上都有较好的优势。

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Image restoration based on illumination correction

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.

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来源期刊

2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA)

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