计算机科学 ›› 2018, Vol. 45 ›› Issue (7): 248-251.doi: 10.11896／j.issn.1002-137X.2018.07.043
姬莉霞,刘成明
JI Li-xia, LIU Cheng-ming
摘要： 模糊静态图像目标重现方法的优劣直接影响了模糊静态图像处理的最终效果和目标识别的准确性。目前,模糊静态图像目标重现方法首先采用暗原色先验规律对模糊静态图像目标的环境光值进行估计,并且基于光照情况对模糊静态图像目标进行透射率估计;然后利用物理模型还原出模糊静态图像目标;最后对还原的目标进行反转,得到模糊静态图像目标的重现结果。该方法存在重现目标对比度较低的问题。为了提高对比度,改善视觉效果,提出了一种基于虚拟现实技术的模糊静态图像目标重现方法。首先,利用虚拟现实技术与光学成像原理对模糊静态图像目标进行采集和分层处理;然后,采用分段线性色阶调整函数来处理模糊静态图像目标的亮度通道,进行全局映射;最后,对目标细节做相应处理,保持目标细节的可见性,完成目标重现。实验结果表明,所提方法具有更好的视觉效果和更明显的细节信息。
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