A 5.4 MDOT OLED Microdisplay for Digital Night Vision and Image Fusion

被引:3
|
作者
Haas, Gunther [1 ]
Espuno, Laurent [1 ]
Marcellin-Dibon, Eric [1 ]
Prat, Christophe [1 ]
Gohri, Vipul [1 ]
机构
[1] MICROOLED SAS, F-38040 Grenoble, France
来源
HEAD- AND HELMET-MOUNTED DISPLAYS XVII AND DISPLAY TECHNOLOGIES AND APPLICATIONS FOR DEFENSE, SECURITY, AND AVIONICS VI | 2012年 / 8383卷
关键词
electronic viewfinder; microdisplay; OLED; digital night vision; image fusion; digital vision systems;
D O I
10.1117/12.918998
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We developed a 0.61 '' diagonal OLED microdisplay dedicated to electronic viewfinders for digital vision systems, e. g. for security or other professional applications. The microdisplay has a very high resolution of 5.4 million subpixels and combines excellent image quality with low power consumption and a 10bit per color digital input. Subpixel pitch is 4.7x4.7 mu m(2). Thanks to the versatile architecture of the underlying ASIC circuit, the device can be easily adapted to different applications and image formats: In the standard full color version, the resulting resolution is 1300 by 1044 pixels (SXGA). In a monochrome version, the resolution is 2600 by 2088 independent pixels, enabling e. g. digital night vision at full 2K by 2K resolution. In addition to this, we developed two- and three color versions of the display that allow to merge high resolution monochrome images e. g. in 2K by 2K resolution with lower resolution images e. g., from an infrared sensor for image fusion or for adding colored graphical overlays.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Vision Enhancement Technology of Drivers Based on Image Fusion
    陈天华
    周爱德
    李会希
    邢素霞
    Transactions of Nanjing University of Aeronautics and Astronautics, 2015, 32 (05) : 495 - 501
  • [32] COLOR CONTRAST ENHANCEMENT METHOD TO IMPROVE TARGET DETECTABILITY IN NIGHT VISION FUSION
    Yin Song-Feng
    Cao Liang-Cai
    Yang Hua
    Tan Qiao-Feng
    He Qing-Sheng
    Ling Yong-Shun
    Jin Guo-Fan
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 2009, 28 (04) : 281 - 284
  • [33] Study on perceptual evaluation of fused image quality for color night vision
    Shi, JS
    Jin, WQ
    Wang, LX
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 2005, 24 (03) : 236 - 240
  • [34] Digital Watermarking Algorithm Based on Image Fusion
    Zhang, Fan
    Shang, Dongfang
    Zhang, Xinhong
    LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, PT I, 2010, 97 : 171 - +
  • [35] Part task investigation of multispectral image fusion using gray scale and synthetic color night vision sensor imagery for helicopter pilotage
    Steele, PM
    Perconti, P
    TARGETS AND BACKGROUNDS: CHARACTERIZATION AND REPRESENTATION III, 1997, 3062 : 88 - 100
  • [36] Comparison of additive image fusion vs. feature-level image fusion techniques for enhanced night driving
    Bender, EJ
    Reese, CF
    van der Wal, GS
    LOW-LIGHT-LEVEL AND REAL-TIME IMAGING SYSTEMS, COMPONENTS, AND APPLICATIONS, 2003, 4796 : 140 - 151
  • [37] Research on fusion schemes of multi-band color night vision images based on opponent vision property
    Wnag Ling-Xue
    Jin Wei-Qi
    Shi Jun-Sheng
    Wang Sheng-Xiang
    Wang Xia
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 2006, 25 (06) : 455 - 459
  • [38] Visible and Near-Infrared Image Acquisition and Fusion for Night Surveillance
    Kwon, Hyuk-Ju
    Lee, Sung-Hak
    CHEMOSENSORS, 2021, 9 (04)
  • [39] Infrared and Visible Image Fusion for Highlighting Salient Targets in the Night Scene
    Zhan, Weida
    Wang, Jiale
    Jiang, Yichun
    Chen, Yu
    Zheng, Tingyuan
    Hong, Yang
    ENTROPY, 2022, 24 (12)
  • [40] An optimized image fusion algorithm for night-time surveillance and navigation
    Anwaar-ul-Haq
    Mirza, AM
    Qamar, S
    IEEE: 2005 INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES, PROCEEDINGS, 2005, : 138 - 143