子块重叠局部直方图均衡算法的优化研究

摘要

子块重叠局部直方图均衡算法是一种有效的图像细节增强算法,它将大幅红外图像分解为多个小幅图像,并对每个小幅图像进行单独的直方图增强,然后通过“叠加”等处理,解决不同局部模块直方图增强后的“块效应”,提高整体视觉效果.由于要对每一个小幅图像进行单独处理,因此需要完成的运算量大,处理时间长.通过研究子块重叠局部直方图均衡算法的优化处理,来减少算法的处理时间,提高算法的工作效率.%The algorithm of partially overlapped sub-block histogram equalization is an effective algorithm for image enhancement. Firstly, the infrared image is divided into many small sub-images, and then each of these small sub-images is enhanced by histogram equalization. These processes will result in mosaic effect,and the mosaic will be solved with special processing. Because every small sub-image is processed separately, it will take a long time to finish the work. This paper researches the optimizing algorithm of partially overlapped sub-block histogram equalization. It reduces the processing time to a large scale and improves the working efficiency.