基于图像融合的低照度图像增强

Proceedings of the 6th International Conference on Robotics and Artificial Intelligence Pub Date : 2020-11-20 DOI:10.1145/3449301.3449315

Shiqiang Tang, Changli Li

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引用次数: 3

摘要

提出了一种简单有效的基于融合的低照度图像增强方法。首先，利用伽玛校正获得第一幅图像进行融合，利用对比度有限自适应直方图均衡化(CLAHE)获得第二幅图像。其次，我们定义了两个新的权重图，并通过多尺度融合进行融合;实验结果表明，该方法在客观评价和主观评价方面都有较好的效果。

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Low Illumination Image Enhancement Based on Image Fusion

In this paper, a new simple and effective fusion-based method for enhancement of low illumination images is proposed. Firstly, gamma correction is used to obtain the first image for fusion, and Contrast Limited Adaptive Histogram Equalization (CLAHE) is used to obtain the other. Secondly, we define two new weight maps and blend them by multi-scale fusion. Experimental results show our method has better effects both objective and subjective assessment.

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Proceedings of the 6th International Conference on Robotics and Artificial Intelligence

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