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一种夜视图象处理的新算法
引用本文:沈嘉励,张 宇,王秀坛. 一种夜视图象处理的新算法[J]. 中国图象图形学报, 2000, 5(6): 479-483
作者姓名:沈嘉励  张 宇  王秀坛
作者单位:清华大学电子工程系!北京100084
摘    要:增强是夜视图象处理的一种重要方法,而直方图均衡是最经典的图象信息增强算法之一,但将它直接应用于夜视图象处理有如下缺点:(1)丢失原始图象的亮度信息;(2)处理过程中有简井现象发生,该文结合夜视图象的特点,提出了一种保持亮度和克服简并的算法,即采用不同灰度区间分别均衡,并且采用设定最小灰度间职和最大拉伸系数的均衡函数的方法,从一定程度上克服了上述缺点。

关 键 词:图象增强 灰度级 夜视图象处理 计算机仿真
收稿时间:1999-06-08
修稿时间:1999-06-08

A New Algorithm for Low-Light-Level Image Processing
SHEN Jia-li,ZHANG Yu and WANG Xiu-tan. A New Algorithm for Low-Light-Level Image Processing[J]. Journal of Image and Graphics, 2000, 5(6): 479-483
Authors:SHEN Jia-li  ZHANG Yu  WANG Xiu-tan
Affiliation:Department of Electronics Engineering,Tsinghua University,Beijing 100084;Department of Electronics Engineering,Tsinghua University,Beijing 100084;Department of Electronics Engineering,Tsinghua University,Beijing 100084
Abstract:Enhancement is one of the important methods of Low light level image processing. The Histogram Equlization(HE), a traditional enhancement algorithm, has several drawbacks to process such images. (1) The brightness information will be lost during the process of HE. (2) Degeneracy will happened during the process. This paper presents an algorithm that can preserve brightness and gray levels, which may decrease the disadvantages of the traditional methods.
Keywords:Image enhancement   Histogram equalization   Gray level
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