에지 검출 방법을 이용한 열화상 카메라의 영상 개선

정민철 한국반도체디스플레이기술학회 2016 반도체디스플레이기술학회지 Vol.15 No.3

This paper proposes a new image enhancement method for an infrared thermal image. The proposed method uses both Laplacian and Prewitt edge detectors. Without a visible light, it uses an infrared image for the edge detection. The method subtracts contour images from the infrared thermal image. It results black contours of objects in the infrared thermal image. That makes the objects in the infrared thermal image distinguished clearly. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiments were conducted by using various infrared thermal images. The results show that the proposed method is successful for image enhancement of an infrared thermal image.

Research on NETD Test System of Medical Infrared Thermal Imager Based on CCD Imaging Technology

Miao Cao,Wenjie Cui 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.3

Under the conditions that the target and background are bold and the transmission loss in atmosphere between systems is neglected, the SNR of the thermal imaging system, the radiation flux of the target and the NETD expression are derived. On this basis, the NETD test system of the modern infrared thermal imager is studied. The system is constructed by a Newton type reflecting parallel light tube, and the off-axis parabolic reflector is as the main body, which provides infinity infrared observation target for infrared thermal imager being tested. The target is composed of the infrared reticle located at the focus of off-axis parabolic reflector and the high precision temperature blackbody at the back of the reticle. The image of infinity infrared target is displayed on its own screen by the infrared thermal imager. CCD shoots the screen of infrared thermal imager, and NETD value is obtained by processing the camera's video signal. The experimental results show that the accuracy of NETD synthesis can reach 0.03℃ in this paper.

저조도 안개 환경에서 열화상 카메라를 이용한 이미지 가시성 향상에 관한 연구

이창섭 ( Chang Seop Lee ),하동환 ( Dong Hwan Har ) 현대사진영상학회 2017 현대사진영상학회논문집 Vol.20 No.3

This research aimed to improve visibility using Long Wave Infrared by recognizing the limitations of improving the visible, near-infrared images’s visibility through the fog improvement algorithm. First of all, we prepared an imaging system that could acquire visible, near-infrared, long wave infrared images for experiments. also, we demonstrated how improvements in the visible and infrared images through De-hazed algorithm. A numerical analysis was conducted using the CNR(Contrast to Noise Ratio) to analyze the image of before & after. and we demonstrated how differences with long wave infrared under the low light level and aerosol environments. this research is meaningful in terms of providing to obtain and analyze accurate information in a specific environment that does not improve visible and near-infrared images’s visibility.

Real-Time Visible-Infrared Image Fusion using Multi-Guided Filter

( Woojin Jeong ),( Bok Gyu Han ),( Hyeon Seok Yang ),( Young Shik Moon ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.6

Visible-infrared image fusion is a process of synthesizing an infrared image and a visible image into a fused image. This process synthesizes the complementary advantages of both images. The infrared image is able to capture a target object in dark or foggy environments. However, the utility of the infrared image is hindered by the blurry appearance of objects. On the other hand, the visible image clearly shows an object under normal lighting conditions, but it is not ideal in dark or foggy environments. In this paper, we propose a multi-guided filter and a real-time image fusion method. The proposed multi-guided filter is a modification of the guided filter for multiple guidance images. Using this filter, we propose a real-time image fusion method. The speed of the proposed fusion method is much faster than that of conventional image fusion methods. In an experiment, we compare the proposed method and the conventional methods in terms of quantity, quality, fusing speed, and flickering artifacts. The proposed method synthesizes 57.93 frames per second for an image size of 320 × 270. Based on our experiments, we confirmed that the proposed method is able to perform real-time processing. In addition, the proposed method synthesizes flicker-free video.

Synchrotron infrared spectroscopy and its applications

채복남 한국공업화학회 2018 한국공업화학회 연구논문 초록집 Vol.2018 No.0

Most synchrotron facilities offer a port dedicated to infrared (IR) spectroscopy and infrared-microspectroscopy. The main advantage of synchrotron-based infrared spectroscopy is the brightness of synch-rotron radiation source. The synchrotron radiation source provides brightness 2-3 orders of magnitude higher than a thermal infrared source. Thus, synchrotron based infrared spectroscopy has allowed high spatial resolution and high spectral resolution, especially for low throughput technologies and far-infrared spectroscopy. Infrared beamlines are now facing an increasing demand of beamtime from various disciplines: Polymer Science, Biology, biomedical applications, Earth Science, Environmental science, Chemistry, Cultural Heritage, Archaeology and soft matter. Synchrotron-based infrared spectroscopy and its applications will be presented. In addition, the current status of infrared beamline of PAL will be discussed.

Infrared Camera Calibration in the 3D Temperature Field Reconstruction

Sun Xiaoming,Wu Haibin,Wang Wei,Liubo,Cui Guoguang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.6

In order to reconstruct the 3D temperature field based on the binocular vision system, we carry out a research on the calibration of the infrared camera. To start with, we make a calibration board which can be clearly identified by the infrared camera; then, with the help of OpenCV, we implement the calibration of two infrared cameras respectively and rectify the infrared images. According to the parameters obtained from the single infrared camera calibration, we accomplish the stereo calibration. The experimental results show that the average reprojecting error is below 0.14 pixels and when using the system to carry out a real measurement, the average error is 3.12%. The feasibility of the proposed calibration approach is verified, the experimental measurement results is close to the ground truth.

Infrared image super-resolution using auxiliary convolutional neural network and visible image under low-light conditions

Han, Tae Young,Kim, Dae Ha,Lee, Seung Hyun,Song, Byung Cheol Elsevier 2018 Journal of visual communication and image represen Vol.51 No.-

<P><B>Abstract</B></P> <P>Convolutional neural networks (CNN) have been successfully applied to visible image super-resolution (SR) methods. In this study, we propose a CNN-based SR algorithm for up-scaling near-infrared (NIR) images under low-light conditions, using corresponding visible images. Our algorithm first extracts high-frequency (HF) components from the up-scaled low-resolution (LR) NIR image and its corresponding high-resolution (HR) visible image, and then takes them as multiple inputs of the CNN. Next, the CNN outputs the HR HF component of the input NIR image. Finally, an HR NIR image is synthesized by adding the HR HF component to the up-scaled LR NIR image. The simulation results show that the proposed algorithm outperforms the state-of-the-art methods, in terms of both qualitative and quantitative aspects.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The proposed scheme focuses on SR of an NIR image, not a VIS image in a low-light environment. </LI> <LI> The proposed scheme utilizes a VIS image, obtained at the same time as the NIR image, as auxiliary information. </LI> <LI> The proposed scheme is based on a CNN structure that simultaneously receives the HF information of the NIR and VIS images. </LI> <LI> The proposed scheme achieved a further performance improvement by employing an auxiliary CNN network. </LI> </UL> </P>

소형 적외선영상 호밍시스템용 고속 실시간 영상신호처리기 개발

김홍락,박진호,김경일,전효원,신정섭,Kim, Hong-Rak,Park, Jin-Ho,Kim, Kyoung-Il,Jeon, Hyo-won,Shin, Jung-Sub 한국인터넷방송통신학회 2021 한국인터넷방송통신학회 논문지 Vol.21 No.4

A small infrared image homing system is a tracking system that has an infrared image sensor that identifies a target through the day and night infrared image processing of the target on the ground and searches for and detects the target with respect to the main target. This paper describes the development of a board equipped with a high-speed CPU and FPGA (Field Programmable Gate Array) to identify target through real-time image processing by acquiring target information through infrared image. We propose a CPU-FPGA combining architecture for CPU and FPGA selection and video signal processing, and also describe a controller design using FPGA to control infrared sensor. 소형 적외선영상 호밍시스템은 지상의 표적에 대하여 주야간 적외선 영상처리를 통하여 표적을 식별하고 주요 표적에 대하여 표적을 탐색, 탐지하여 추적하는 적외선 영상센서를 보유한 추적시스템이다. 본 논문에서는 지상의 표적을 주야간 적외선 영상을 통하여 표적 정보를 획득하여 실시간 영상처리를 통하여 표적을 식별하기 위한 고속의 CPU와 FPGA(Field Programmable Gate Array)가 탑재된 보드 개발의 내용을 설명한다. CPU, FPGA 선정과 영상신호처리를 위한 CPU-FPGA 결합 아키텍처에 대하여 제안하고 또한 김발구조의 적외선센서를 제어하기 위한 FPGA를 활용에 대하여 설명한다.

Profile 형태 특징과 GMM을 이용한 Gunnery 분류 기법

김재협(Jae Hyup Kim),박규희(Gyu Hee Park),정준호(Jun Ho Jeong),문영식(Young-Shik Moon) 大韓電子工學會 2011 電子工學會論文誌-CI (Computer and Information) Vol.48 No.5

Gunnery로부터 발생하는 muzzle firing은 매우 높은 에너지를 방출하는 표적으로 볼 수 있다. 따라서, xx km 이상의 원거리 gunnery의 경우 일반 CCD 영상으로는 식별하기 어렵지만, IR(infrared) 영상에서는 충분히 식별될 수 있다. 본 논문에서는 원거리 IR 영상으로부터 muzzle firing으로 발생되는 profile을 획득하여 분류하는 기법을 제안한다. IR 센서(infrared sensor)의 특성, 거리, 대기 상태 등에 따라 muzzle firing으로 발생하는 에너지는 서로 다른 양으로써 IR영상에 표현된다. 따라서, 단순히 IR 영상의 픽셀값으로 gunnery 종류를 분류하는데는 명확한 한계가 있다. 제안하는 기법에서는 xxx Hz 이상의 고속 장비를 이용하여 muzzle firing이 이루어지는 구간내에서 시간에 따른 픽셀값의 profile을 획득하여 형태기반의 특징을 추출한 후, 피셔 공간(Fisher's space)로 투영시켜 GMM(Gaussian Mixture Model)을 이용하여 gunnery의 종류를 분류한다. 제안하는 기법을 이용하여 지상 및 공중에서 획득한 gunnery에 대하여 분류 실험을 수행한 결과 파라미터에 따라 최대 93%의 분류율을 확인하였다. Muzzle flash based on gunnery is the target that has huge energy. So, gunnery target in a long range over xx km is distinguishable in the IR(infrared) images, on the other hand, is not distinguishable in the CCD images. In this paper, we propose the classification method of gunnery targets in a infrared images and in a long range. The energy from gunnery have an effect on varous pixel values in infrared images as a property of infrared image sensor, distance, and atmosphere, etc. For this reason, it is difficult to classify gunnery targets using pixel values in infrared images. In proposed method, we take the profile of pixel values using high performance infrared sensor, and classify gunnery targets using modeling GMM and shape of profile. we experiment on the proposed method with infrared images in the ground and aviation. In experimental result, the proposed method provides about 93% classification rate.

적외선 영상과 CCD 영상의 합성을 이용한 화재감지 통합관제 시스템 개발에 관한 연구

송현선(Hyun-Seon Song),이의용(Yeu-Yong Lee) 한국조명·전기설비학회 2017 조명·전기설비학회논문지 Vol.31 No.5

Every object emits some energy from its surface. Thermal infrared camera is able to transform emission energy into thermal infrared image and it is used the fire detection system lately. But the thermal infrared image is difficult to recognize the fire detection. Thermal infrared camera has poor image qualities compared to commercial CCD cameras, contrasting with the brightness and process of separating into constituents. In this paper, to compensate the poor image quality problems associated with the thermal infrared camera, the image fusion method of thermal infrared image and real CCD image is proposed. By using Harris corner detection algorithm, it is possible to extract feature points on the edge direction, obtain the corner. Therefore this paper presents a highly reliable fire detection system that consolidates the ordinary CCD image and the thermal infrared image. Also this smart fire image detecting system traces firing location with CCD camera of wireless TCP/IP function and Pan/Tilt function, delivers information in real time to android system installed by smart mobile communication system and controls fire remotely.