DocumentCode :
2461290
Title :
Luminance Dynamic Range Conersion Circuit Based on Probabilistic Neural Network for Night Vision System
Author :
Fan, Yu-Cheng ; Shen, Jan-Hung
Author_Institution :
Integrated Syst. Lab., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear :
2012
fDate :
4-6 June 2012
Firstpage :
317
Lastpage :
320
Abstract :
In this paper, we will discuss the development of digital image technology. The study is mainly focused on the problem that how luminance affects the sensitivity of charge-coupled device, which will determine the quality of captured images. In order to solve the problems caused from the light effects the sensitivity of charge-coupled device, we will provide the method of luminance dynamic range conversion, which is manufactured by 0.18um single poly-silicon and six metal CMOS technology. Chip size is equal to 2.1mm × 2.1mm and core size is equal to 1.6mm × 1.6mm. We adopt on chip memory to record luminance value and the memory size is 23,768 bits. From the result of the experiment, we can see the light adjustments and the display of clear images in different light environments.
Keywords :
CMOS integrated circuits; charge-coupled devices; image processing; neural nets; night vision; probability; charge-coupled device sensitivity; digital image technology; luminance dynamic range conversion circuit; memory size 2971 Byte; metal CMOS technology; night vision system; poly-silicon; probabilistic neural network; size 0.18 mum; size 1.6 mm; size 2.1 mm; Biological neural networks; Brightness; Dynamic range; Histograms; Image color analysis; Probabilistic logic; Equalization; Histogram; Luminance; probaoility neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2012 International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4673-0767-3
Type :
conf
DOI :
10.1109/IS3C.2012.87
Filename :
6228310
Link To Document :
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