The image enhancement problem for degraded images with less gray levels and low contrasts.
灰度等级少、对比度低的降质图像增强问题。
By increasing the intervals of gray levels, enhancing gray contrast is implemented by the traditional gray enhancement algorithms.
传统的图像灰度增强方法通过增大灰度级别的间距来达到增加图像灰度对比度的目的。
Gray levels are very important to the qualification of display devices like LCD. We have discussed some methods of the realization of gray levels of LCDs.
本文讨论了液晶显示中实现灰度的几种办法，特别是在只有二个或数个灰度级的显示器中实现灰度显示的几种伪灰度级显示办法。
The histogram equalization can enhance the contrast by redistributing the gray levels, it has the drawback that it reduces the information in the processed image.
直方图均衡可以使图像灰度分布接近均匀，提高图像对比度，但图像的信息量会有一定程度的损失。
Simulation results show that this method can greatly reduce dynamic false contour and overcome the shortcoming of insufficient gray levels in pure stretched-out coding display.
仿真结果显示，此法能够良好地抑制动态伪轮廓，并且有助于克服单纯延伸编码显示灰度级不足的缺点。
Researched the reason why PV interpolation may lead to wrong registration, and suggested to reduce gray levels to avoid the problem.
研究了PV插值法导致错误配准的原因，提出了通过调整灰度级数来避免。
According to the characters of the images, the algorithm separated image into several regions by K-means clustering algorithm, and each region is equalized respectively within their gray levels.
该算法基于图像的特点，利用K均值聚类算法将图像分成几个灰度区间，然后再分别进行均衡化。
According to the characters of the images, the algorithm separated image into several regions by K-means clustering algorithm, and each region is equalized respectively within their gray levels.
该算法基于图像的特点，利用K均值聚类算法将图像分成几个灰度区间，然后再分别进行均衡化。
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