基于二维伽马函数的光照不均匀图像自适应校正算法
Adaptive Adjustment Algorithm for Non-Uniform Illumination Images Based on 2D Gamma Function
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摘要: 提出了一种基于二维伽马函数的光照不均匀图像自适应校正算法. 利用多尺度高斯函数提取出场景的光照分量,然后构造了一种二维伽马函数,并利用光照分量的分布特性调整二维伽马函数的参数,降低光照过强区域图像的亮度值,提高光照过暗区域图像的亮度值,最终实现对光照不均匀图像的自适应的校正处理. 通过与经典算法对比表明,本文算法可以更好地降低光照不均匀对图像的影响,提高图像的质量.Abstract: An adaptive adjustment algorithm for non-uniform illumination images based on 2D Gamma function was proposed in this paper. At first the reflection component was extracted by multi-scale Gaussian functions. Then a 2D Gamma function fed by the local characteristic of reflection component was constructed to decrease the intensity at the bright region and increase the intensity at the dark region in the luminance domain. Finally the non-uniform illumination images was corrected adaptively by the proposed algorithm. Experimental results show that the proposed algorithm has better performance in reducing the impaction caused by non-uniform illumination and enhancing the quality of the images.
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