histogram equalization

基本解释

Traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively.
传统的直方图均衡和灰度变换增强算法，不能针对红外图像的目标进行有效地增强。
The color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system.
由灰度统计直方图均衡所实现的彩色增强处理降低了虚拟照相系统对环境照度的要求。
This pa-per proposed a method which is partially overlapped local histogram equalization based on maximum entropy and brightness preserving(Local BPHEME).
本文提出了基于熵最大化和亮度保持的部分重叠的局部直方图均衡方法（局部BPHEME）。