摘要
直方图均衡化被广泛地应用于各种图像处理领域，该方法可以有效地增加图像的动态范围。然而传统的直方图均衡化方法存在一定的局限性，很容易把像素低的灰度级合并，从而减少灰度级，使得处理后的图像与原图像产生较大偏差。本文提出一种改进的直方图均衡化方法。
Histogram equalization is widely used in various image processing; the method can effectively increase the image＇s dynamic range. However, the traditional histogram equalization method has some limitations, it is easy to pixels with low gray-scale merger, thereby reducing the gray scale, making the processed image with the original image have a greater deviation. This article from this perspective, attempting to improve the original histogram equalization method to overcome the shortcomings of gray level reduction.
出处
《科教导刊》
2012年第12期147-148,共2页
The Guide Of Science & Education
关键词
图像处理
直方图均衡化
噪声
灰度级
变换函数
image processing, histogram equalization, noise, gray level, the transformation function
