DocumentCode :
232867
Title :
A adaptive dual-platform deep space infrared image enhancement algorithm based on linear gray scale transformation
Author :
Ye Youshi ; Sun Qiang ; Shi Lei ; Xiong Jun ; Zhao Yunfu ; Xia Bingbing ; Liu Bo
Author_Institution :
Beijing Inst. of Control Eng., Beijing, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
7434
Lastpage :
7438
Abstract :
According to the characteristics of deep space infrared images, an image enhancement algorithm of adaptive dual-platform linear gray scale transformation is proposed. The algorithm can adaptively determine the dual-platform threshold in the process of Histogram distribution statistics, and then adjust the gray level distribution to extend dynamic range of the gray scale and enhance image contrast. It can improve the accuracy of the follow-up target detection.
Keywords :
aerospace computing; image enhancement; infrared imaging; statistical distributions; adaptive dual-platform deep space infrared image enhancement algorithm; adaptive dual-platform linear gray scale transformation; dual-platform threshold; follow-up target detection; gray level distribution; gray scale dynamic range; histogram distribution statistics; image contrast enhancement; Abstracts; Aerospace electronics; Image enhancement; adaptive algorithm; deep space infrared image; image enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896236
Filename :
6896236
Link To Document :
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