FPGA-based research on high frame rate infrared image real-time acquisition and processing system

2021 ◽  
Author(s):  
HE SUOCHUN ◽  
ZHOU YANG ◽  
LIN SEN ◽  
CHANG HONG ◽  
WEI XIAOLIN
Keyword(s):  
Real Time ◽  
Infrared Image ◽  
Processing System ◽  
Frame Rate ◽  
High Frame Rate ◽  
Time Acquisition

An Ultra-High Frame Rate Ion Imaging Platform Using ISFET Arrays With Real-Time Compression

2021 ◽  
Vol 15 (4) ◽  
pp. 820-833
Author(s):  
Junming Zeng ◽  
Lei Kuang ◽  
Miguel Cacho-Soblechero ◽  
Pantelis Georgiou
Keyword(s):  
Real Time ◽  
Frame Rate ◽  
Ion Imaging ◽  
High Frame Rate ◽  
Time Compression

A Real-Time Processing System Based on Field Programmable Gate Array for Infrared Image

2009 ◽  
Vol 36 (2) ◽  
pp. 307-311
Author(s):  
罗凤武 Luo Fengwu ◽  
王利颖 Wang Liying ◽  
涂霞 Tu Xia ◽  
陈厚来 Chen Houlai
Keyword(s):  
Real Time ◽  
Field Programmable Gate Array ◽  
Infrared Image ◽  
Processing System ◽  
Real Time Processing ◽  
Time Processing ◽  
Field Programmable ◽  
Gate Array

Real-Time Projection Mapping Using High-Frame-Rate Structured Light 3D Vision

2015 ◽  
Vol 8 (4) ◽  
pp. 265-272 ◽  
Author(s):  
Jun CHEN ◽  
Takashi YAMAMOTO ◽  
Tadayoshi AOYAMA ◽  
Takeshi TAKAKI ◽  
Idaku ISHII
Keyword(s):  
Real Time ◽  
Structured Light ◽  
Frame Rate ◽  
3D Vision ◽  
Projection Mapping ◽  
High Frame Rate ◽  
Time Projection

Real-Time Image Mosaicing System Using a High-Frame-Rate Video Sequence

2015 ◽  
Vol 27 (1) ◽  
pp. 12-23 ◽  
Author(s):  
Qingyi Gu ◽  
◽  
Sushil Raut ◽  
Ken-ichi Okumura ◽  
Tadayoshi Aoyama ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Video Sequence ◽  
Frame Rate ◽  
Image Mosaicing ◽  
Current Frame ◽  
High Frame Rate ◽  
Harris Corner ◽  
Real Time Image ◽  
Time Image

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270001/02.jpg"" width=""300"" />Synthesized panoramic images</div> In this paper, we propose a real-time image mosaicing system that uses a high-frame-rate video sequence. Our proposed system can mosaic 512 × 512 color images captured at 500 fps as a single synthesized panoramic image in real time by stitching the images based on their estimated frame-to-frame changes in displacement and orientation. In the system, feature point extraction is accelerated by implementing a parallel processing circuit module for Harris corner detection, and hundreds of selected feature points in the current frame can be simultaneously corresponded with those in their neighbor ranges in the previous frame, assuming that frame-to-frame image displacement becomes smaller in high-speed vision. The efficacy of our system for improved feature-based real-time image mosaicing at 500 fps was verified by implementing it on a field-programmable gate array (FPGA)-based high-speed vision platform and conducting several experiments: (1) capturing an indoor scene using a camera mounted on a fast-moving two-degrees-of-freedom active vision, (2) capturing an outdoor scene using a hand-held camera that was rapidly moved in a periodic fashion by hand. </span>

Large-scale scene real-time infrared simulation based on texture blending

2016 ◽  
Vol 9 (4) ◽  
pp. 406-415
Author(s):  
Yuye Wang ◽  
Guofeng Zhang ◽  
Xiaoguang Hu
Keyword(s):  
Large Scale ◽  
Infrared Imaging ◽  
Imaging System ◽  
Infrared Image ◽  
Frame Rate ◽  
Theoretical Research ◽  
Content Type ◽  
High Frame Rate ◽  
Specific Target ◽  
Infrared Imaging System

Purpose Infrared simulation plays an important role in small and affordable unmanned aerial vehicles. Its key and main goal is to get the infrared image of a specific target. Infrared physical model is established through a theoretical research, thus the temperature field is available. Then infrared image of a specific target can be simulated properly while taking atmosphere state and effect of infrared imaging system into account. For recent years, some research has been done in this field. Among them, the infrared simulation for large scale is still a key problem to be solved. In this passage, a method of classification based on texture blending is proposed and this method effectively solves the problem of classification of large number of images and increase the frame rate of large infrared scene rendering. The paper aims to discuss these issues. Design/methodology/approach Mosart Atmospheric Tool (MAT) is used first to calculate data of sun radiance, skyshine radiance, path radiance, temperatures of different material which is an offline process. Then, shader in OGRE does final calculation to get simulation result and keeps a high frame rate. Considering this, the authors convert data in MAT file into textures which can be easily handled by shader. In shader responding, radiance can be indexed by information of material, vertex normal, eye and sun. Adding the effect of infrared imaging system, the final radiance distribution is obtained. At last, the authors get infrared scene by converting radiance to grayscale. Findings In the fragment shader, fake infrared textures are used to look up temperature which can calculate radiance of itself and related radiance. Research limitations/implications The radiance is transferred into grayscale image while considering effect of infrared imaging system. Originality/value Simulation results show that a high frame rate can be reached while guaranteeing the fidelity.

High frame rate, wide-angle Tissue Doppler Imaging in real-time

2017 ◽  
Author(s):  
Alessandro Ramalli ◽  
Francesco Guidi ◽  
Alessandro Dallai ◽  
Enrico Boni ◽  
Ling Tong ◽  
...  
Keyword(s):  
Real Time ◽  
Tissue Doppler Imaging ◽  
Tissue Doppler ◽  
Frame Rate ◽  
Doppler Imaging ◽  
Wide Angle ◽  
High Frame Rate

An Intelligent High-Frame-Rate Video Logging System for Abnormal Behavior Analysis

2011 ◽  
Vol 23 (1) ◽  
pp. 53-65 ◽  
Author(s):  
Yao-DongWang ◽  
◽  
Idaku Ishii ◽  
Takeshi Takaki ◽  
Kenji Tajima ◽  
...  
Keyword(s):  
Real Time ◽  
Video Processing ◽  
High Speed ◽  
Vision System ◽  
Video Recording ◽  
Frame Rate ◽  
Abnormal Behavior ◽  
High Frame Rate ◽  
Abnormal Behavior Detection ◽  
Abnormal Behaviors

This paper introduces a high-speed vision system called IDP Express, which can execute real-time image processing and High-Frame-Rate (HFR) video recording simultaneously. In IDP Express, 512×512 pixel images from two camera heads and the processed results on a dedicated FPGA (Field Programmable Gate Array) board are transferred to standard PC memory at a rate of 1000 fps or more. Owing to the simultaneous HFR video processing and recording, IDP Express can be used as an intelligent video logging system for long-term high-speed phenomenon analysis. In this paper, a real-time abnormal behavior detection algorithm was implemented on IDP-Express to capture HFR videos of crucial moments of unpredictable abnormal behaviors in high-speed periodic motions. Several experiments were performed for a high-speed slider machine with repetitive operation at a frequency of 15 Hz and videos of the abnormal behaviors were automatically recorded to verify the effectiveness of our intelligent HFR video logging system.

Real-time infrared image processing system based on DSP technology

2005 ◽  
Author(s):  
Hongyan Zhuo ◽  
Rong Zhang ◽  
Zai-Ming Li ◽  
Zhi-zhong Fu ◽  
Jian-tao Wu ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Infrared Image ◽  
Processing System ◽  
Image Processing System ◽  
Infrared Image Processing ◽  
Dsp Technology
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