基于二维直方图分析的二元子图微光图像增强处理

提出了基于二维直方图分析的二元子图微光图像增强处理算法，根据原始图像的二维直方图分布特征，依据相邻像素的相关性数据，将图像分割成二元子图像，对每个子图像分别进行直方图均衡增强处理，最后合成得到完整的处理图像，通过用信息容量等图像评价参数对实验结果进行分析，表明此算法克服了对整幅图像进行直方图均衡时难以把握局部细节的缺点，得到了具有较好视觉质量的处理后微光图像。

LOW LIGHT LEVEL IMAGE ENHANCEMENT BASED ON DUALISTIC SUB-IMAGE AND TWO DIMENSIONAL HISTOGRAM ANALYSIS

A novel image enhancement technique suitable for low light level image, dualistic sub image enhancement based on two dimensional histogram analysis and histogram equalization, is presented. Firstly, the low light level image is segmented to two sub images according to the correlation between the neighboring pixels, which is based on the two dimensional histogram analysis. Then each sub image is enhanced based on histogram equalization. Finally, the processed sub images are composed into one image. The result indicates that the algorithm can not only enhance image information effectively but also keep the fine part of original low light level image well. And this algorithm eliminates the drawback of traditional histogram that the fine part is not easy to control and protect. This is meaningful for low light level night vision technology.