scholarly journals Design of a real-time fiber-optic infrared imaging system with wide-angle and large depth of field

2022 ◽  
Vol 20 (1) ◽  
pp. 011201
Author(s):  
Xing Peng ◽  
Lingbao Kong
2017 ◽  
Vol T170 ◽  
pp. 014027 ◽  
Author(s):  
A Huber ◽  
D Kinna ◽  
V Huber ◽  
G Arnoux ◽  
I Balboa ◽  
...  

2021 ◽  
Author(s):  
Feng Deng ◽  
Zhong Su ◽  
Rui Wang ◽  
Jun Liu ◽  
Yanzhi Wang

Most of the existing infrared imaging systems employ the scheme of FPGA/FPGA+DSP with numerous peripheral circuits, which leads to complex hardware architecture, limited system versatility, and low computing performance. It has become an intriguing technical problem worldwide to simplify the system structure while improving the imaging performance. In this paper, we present a novel real-time infrared imaging system based on the Rockchip’s RV1108 visual processing SoC (system on chip). Moreover, to address the problem of low contrast and dim details in infrared images with a high dynamic range, an adaptive contrast enhancement method based on bilateral filter is proposed and implemented on the system. First, the infrared image is divided into a base layer and a detail layer through bilateral filter, then the base layer is compressed by an adaptive bi-plateau histogram equalization algorithm, and finally a linear-weighted method is used to integrate the detail layer to obtain the image with enhanced details. The experimental results indicate that compared with traditional algorithms, our method can effectively improve the overall contrast of the image, while effectively retaining the image details without noise magnification. For an image of 320*240 pixels, the real-time processing rate of the system is 68 frames/s. The system has the characteristics of simplified structure, perceptive image details, and high computing performance.


Author(s):  
Daniel L. Barton ◽  
Jeremy A. Walraven ◽  
Edward R. Dowski ◽  
Rainer Danz ◽  
Andreas Faulstich ◽  
...  

Abstract A new imaging technique called Wavefront Coding allows real-time imaging of three-dimensional structures over a very large depth. Wavefront Coding systems combine aspheric optics and signal processing to achieve depth of fields ten or more times greater than that possible with traditional imaging systems. Understanding the relationships between traditional and modern imaging system design through Wavefront Coding is very challenging. In high performance imaging systems nearly all aspects of the system that could reduce image quality are carefully controlled. Modifying the optics and using signal processing can increase the amount of image information that can be recorded by microscopes. For a number of applications this increase in information can allow a single image to be used where a number of images taken at different object planes had been used before. Having very large depth of field and real-time imaging capability means that very deep structures such as surface micromachined MEMS can be clearly imaged with one image, greatly simplifying defect and failure analysis.


2012 ◽  
Vol 38 (1) ◽  
pp. 14-18
Author(s):  
黄战华 HUANG Zhanhua ◽  
杨鹤猛 YANG Hemeng ◽  
孙立彬 SUN Libin ◽  
蔡怀宇 CAI Huaiyu

2009 ◽  
Author(s):  
Ruo-lan Hu ◽  
Xin-gang Mou ◽  
Xiao-dong Pan ◽  
Gui-lin Zhang

2016 ◽  
Vol 24 (11) ◽  
pp. 2841-2847
Author(s):  
李赓飞 LI Geng-fei ◽  
李桂菊 LI Gui-ju ◽  
韩广良 HAN Guang-liang ◽  
刘培勋 LIU Pei-xun ◽  
江山 JIANG Shan

2013 ◽  
Vol 427-429 ◽  
pp. 1068-1071
Author(s):  
Peng Fei Li ◽  
Zhi Hui Du ◽  
Xing Fu Li ◽  
Yong Qiang Liu

Nonuniformity of Infrared Focal Plane Array (IRFPA) has greatly limited the quality of infrared imaging system, so nonuniformity must be corrected before using IRFPA. In order to reduce nonuniformity correction calculating amount and improve real-time nonuniformity correction speed, a new compressing correction method of utilizing hardware memory is presented. In this paper, memory compressing correction principle and implementing process are expounded in detail, and the hardware circuit diagram is given out. The experimental results prove that the method has simple circuit and excellent image quality and it easily realizes real-time nonuniformity correction.


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