histogram equalization

基本解釋

Traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively.
傳統(tǒng)的直方圖均衡和灰度變換增強算法，不能針對紅外圖像的目標進行有效地增強。
The color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system.
由灰度統(tǒng)計直方圖均衡所實現(xiàn)的彩色增強處理降低了虛擬照相系統(tǒng)對環(huán)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疊的局部直方圖均衡方法（局部BPHEME）。