人工智能
计算机视觉
计算机科学
RGB颜色模型
图像(数学)
亮度
对比度(视觉)
直方图
集合(抽象数据类型)
噪音(视频)
数学
模式识别(心理学)
程序设计语言
作者
Hongyue Leng,Bin Fang,Mingliang Zhou,Bin Wu,Qin Mao
标识
DOI:10.1142/s0218001423540034
摘要
In image enhancement, maintaining the texture and attenuating noise are worth discussing. To address these problems, we propose a low-light image enhancement method with contrast increase and illumination smooth. First, we calculate the maximum map and the minimum map of RGB channels, and then we set maximum map as the initial value for illumination and introduce minimum map to smooth illumination. Second, we use the histogram-equalized version of the input image to construct the weight for the illumination map. Third, we propose an optimization problem to obtain the smooth illumination and refined reflectance. Experimental results show that our method can achieve better performance compared to the state-of-the-art methods.
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