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-ima ges 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 re duces the processing time to a large scale and improves the working efficiency.
出处
《激光与红外》
CAS
CSCD
北大核心
2012年第12期1381-1384,共4页
Laser & Infrared
关键词
图像增强
直方图均衡
子块重叠算法
image enhancement
histogram equalization
the algorithm of partially overlapped sub-block histogram equalization
