Infrared and low-light-level image processing in color night vision technology

2001 ◽  
Author(s):  
Lianfa Bai ◽  
Qian Chen ◽  
Guohua Gu ◽  
Baomin Zhang
2019 ◽  
Vol 58 (18) ◽  
pp. 4947
Author(s):  
Tao Yuan ◽  
Zhenghao Han ◽  
Li Li ◽  
Weiqi Jin ◽  
Xia Wang ◽  
...  

2014 ◽  
Vol 568-570 ◽  
pp. 598-603
Author(s):  
Juan Li ◽  
Zhao Hui Liu ◽  
Chao Mei

Two camera lenses for 3D low light level color night vision system are designed in CODE V. The panchromatic sensitive camera lens works in a wide spectral band 400nm-1000nm, yellow green-sensitive camera lens works in a band of 400nm-600nm.The two camera lenses have same parameters, such as focal length 120mm, relative aperture 1/2, the field angle of 5.26 °. In the design of two camera lenses, we split and complex cooke triplet lens, the chromatic aberration is balanced by adding a binary diffractive surface. The results of design show that sensitive panchromatic camera lens and yellow-green-sensitive camera lens, in the all field of view, when the Nyquist frequency is 77.5 (lp / mm), all MTF is larger than 0.6; the axial chromatic aberration of sensitive panchromatic camera lens is 0.056mm. Two camera lenses have good imaging performance.


2017 ◽  
Vol 46 (8) ◽  
pp. 804002 ◽  
Author(s):  
鲁佳颖 Lu Jiaying ◽  
谷小婧 Gu Xiaojing ◽  
顾幸生 Gu Xingsheng

2015 ◽  
Vol 36 (3) ◽  
pp. 430-434
Author(s):  
Chen Yi-chao ◽  
Hu Wen-gang ◽  
Wu Dong-sheng ◽  
He Yong-qiang ◽  
Zhang Dong-xiao ◽  
...  

2010 ◽  
Vol 439-440 ◽  
pp. 1601-1605
Author(s):  
Da She Li ◽  
Shu E Liu ◽  
Zhen Hua

A way based on B-Spline wavelet transform is used to get the edge extraction of the night image. Compared with classical methods of edge detection, it provides higher precision and saves more details etc. Formulation of communication protocol is put forward. With the combination of laser technology and night vision technology, hardware and software program and image processing is designed to realize the auto-detection, monitoring and alarm. The visual range in full dark is 1.8km and more than 2.1km in 1/4 moonlight


Author(s):  
G.Y. Fan ◽  
J.M. Cowley

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.


1980 ◽  
Vol 24 (1) ◽  
pp. 306-309
Author(s):  
Robert M. Waters ◽  
Larry W. Avery

Two experiments were run comparing the operational binoculars AN/PVS-5 Night Vision Goggles with two monocular low cost night vision goggles using newer light intensification techniques. No decrement in performance was noted in visual acuity or depth perception with the monocular low cost goggles; an improved capability was noted with the new goggles in low light level conditions.


2015 ◽  
Author(s):  
Elad Gross ◽  
Ran Ginat ◽  
Ofer Nesher

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