Real-time image enhancement based-on improved algorithm of gray-scale equispacing density equalization
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 1 920×1 080 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.
real-time image enhancementgray-scale equispacing density equalizationhistogram
国家科技期刊平台
NSTL
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