计算机科学 ›› 2022, Vol. 49 ›› Issue (6A): 384-389.doi: 10.11896/jsjkx.210400243
赵明华1,2, 周童童1, 都双丽1, 石争浩1
ZHAO Ming-hua1,2, ZHOU Tong-tong1, DU Shuang-li1, SHI Zheng-hao1
摘要： 逆光图像目标区域可视质量低、背景区域过度曝光,是影响图像质量的重要因素之一。针对现有的逆光图像增强方法在增强暗区细节信息时不能很好地抑制明亮区域过度增强的问题,提出了一种基于虚拟曝光的单幅逆光图像增强方法。首先,引入虚拟曝光图像,并根据参数确定最佳低曝光图像和高曝光图像;然后,使用非线性亮度增强方法和基于邻域相关对比度增强方法分别处理暗区和亮区;最后,采用拉普拉斯金字塔融合方法将暗区、亮区的细节和特征融合。使用自然图像和合成图像对所提方法进行实验,结果表明所提方法具有更少的颜色和亮度失真,视觉效果更加自然。
中图分类号:
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