用于实时图像增强的灰度等间距密度均衡改进算法

Real-time image enhancement based-on improved algorithm of gray-scale equispacing density equalization

实时图像的增强处理,除了保证单帧图像具有较高的对比度,还应考虑处理算法的实时性和图像序列间增强效果的连贯性。灰度等间距密度均衡算法通过去除冗余灰度级后进行有效灰度级等间距重排,可以有效增强图像对比度。本文以灰度等间距密度均衡增强算法为基础,对其有效灰度级有效阈值选取、过度增强等问题进行了相应改进,以满足连续图像序列的实时增强处理需求。实验结果表明,改进算法可以有效避免图像局部变化对整体增强效果的影响。对于1920×1080分辨率的图像,单帧处理时间约为32 ms。本改进算法对于连续图像序列具有良好的增强效果,且能够较好地满足实时图像增强对于连贯性、实时性、鲁棒性的处理需求。

In the enhancement processing of real-time image,in addition to ensuring the high contrast of single frame image,the real-time performance of the processing algorithm and the coherence of the enhancement effect between image sequences should be considered.Gray-scale equispacing density equalization algorithm can effectively enhance image contrast by removing redundant gray level and rearranging effective gray level equispacing.In this paper,based on the gray-scale equispacing density equalization enhancement algorithm,the effective gray level effective threshold selection,excessive enhancement and other problems are improved accordingly,in order to meet the real-time enhancement processing requirements of continuous image sequences.Experimental results show that the improved algorithm can effectively avoid the influence of local changes on the overall enhancement effect.For 1920×1080 resolution images,the processing time of single frame is about 32 ms.The improved algorithm has good enhancement effect on continuous image sequence,and can better meet the processing requirements of real-time image enhancement for coherence,real-time performance and robustness.