利用β函数映射与帧间信息融合的低照度视频图像增强方法

Low contrast video enhancement with illumination nonlinear mapping and interframe information fusion

  • 摘要: 在视频监控、视讯会议系统等应用领域,由于环境光照较低或背景光过强,常导致视频图像很多细节丢失,此时需要用视频增强技术来改善视频质量。本文提出了一种基于非线性β函数映射与帧间信息融合的低照度视频图像增强方法。该方法在图像的照度层实现对比度增强,首先将视频图像从RGB空间转换到HSI色彩空间,提取其照度分量;然后用非线性归一化β函数的映射关系得到增强后的照度成分,β函数的参数通过本文提出的评价函数得到;最后,重建图像,完成视频图像的增强。与其它对比度增强方法相比,本文方法的增强效果好,且计算复杂度较小。文中给出了计算机仿真实验结果。

     

    Abstract: Video enhancement technology plays an important role in the field of video surveillance, video conference and so on, for the reason that much of the details are lost dealing to the low-illumination environment or hard bias light. A low contrast video enhancement based on illumination nonlinear mapping and interframe information fusion is proposed in this paper. The enhancement is achieved in the layer of illumination to increase the contrast ratio. The video image is first translated from RGB space into HSI space in order to extract the illumination level and then enhanced by the map of β-function. The parameters which can give the best result to the evaluation criteria is determined as the parameters of β-function. Finally the enhanced image is reconstructed to finish the enhancement of the video. The proposed method enforces better appearance and lower complex rate in contrast to other related methods. The result of the computer simulation is also given.

     

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