摘要
针对传统图像增强方法的不足,提出一种基于模拟频域滤波重构直方图均衡的图像增强方法。将频率域滤波的思想引入空间域直方图运算当中,在模拟频率直方图统计中进行频率信息的统计,利用这些频率信息建立模拟频率域坐标,进行模拟频域滤波,对滤波处理后的直方图进行均衡化处理。实验表明:与传统方法相比,该算法优化了灰度级的动态分布范围,能得到更清晰的增强效果,且在图像中没有视觉明显的噪声放大。
In view of the faults of traditional image enhacing method, a new method based on reconstructed histogram equalization after simulated frequency domain filtered is presented. Frequency domain filter idea is applied to spatial domain histogram operation. Frequency information is acquired statistically in simulated frequency histogram statistic first, then simulated frequency domain coordinates are constituted with these frequency information, and simulated frequency domain filter is done, histogram after filtered is equalized lastly. Experimental results show that, compared with general methods, the new way can optimize dynamic range of the gray level, and enhance image more clearly, it also amplifies noise unobviously in processed image.
出处
《计算机仿真》
CSCD
2008年第4期198-201,共4页
Computer Simulation
关键词
图像增强
模拟频率直方图统计
模拟频域滤波
重构直方图均衡
Image enhacing
Simulated frequency histogram statistic
Simulated frequency filter
Reconstructed histogram equalization
