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中文摘要：
针对局部光照不均图像的增强问题,提出了一种新的基于光照补偿的图像增强方案.该算法将待增强图像分别乘以不同的照射系数来获得不同光照补偿后的多幅图像,利用限邻域经验模式分解（Neighborhood Limited Empirical Mode Decomposition,NLEMD）提取各光照补偿后图像的细节信息和照射分量,所有图像的细节信息叠加来增强纹理细节,照射分量用Retinex算法进行增强处理,最后重构出增强结果.实验表明,该增强方案可以对图像的细节有效地增强,同时有效地解决了光照补偿问题.
英文摘要：
A method for image enhancement based on light compensation was proposed to enhance the image with imbalanced local illumination. Firstly, to get several different luminance images, original image multiplied by different factors. Then, all images were decomposed by NLEMD. The details of images were added together to enhance texture of image. The illumination of the image was balanced by Retinex algorithm. Lastly, we reconstructed the enhancing result. The experimental results indicate that detail of the image is enhanced effectively and the problem of light compensation is resolved effectively.
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