• Title/Summary/Keyword: Infrared filter

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Scene-based Nonuniformity Correction Algorithm Based on Temporal Median Filter

  • Geng, Lixiang;Chen, Qian;Qian, Weixian;Zhang, Yuzhen
    • Journal of the Optical Society of Korea
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    • v.17 no.3
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    • pp.255-261
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    • 2013
  • Scene-based nonuniformity correction techniques for infrared focal-plane arrays have been widely considered as a key technology, and various algorithms have been proposed to compensate for fixed-pattern noise. However, the existed algorithms' capability is always restricted by the problems of convergence speed and ghosting artifacts. In this paper, an effective scene-based nonuniformity correction method is proposed to solve these problems. The algorithm is an improvement over the constant statistics method and a temporal median is utilized with the Gaussian kernel to estimate the nonuniformity parameters. Also theoretical analysis is conducted to demonstrate that effective ghosting artifacts elimination and superior convergence speed can be obtained with the proposed method. Finally, the performance of the proposed technique is tested with infrared image sequences with simulated nonuniformity and with infrared imagery with real nonuniformity. The results show the proposed method is able to estimate each detector's gain and to offset reliably and that it performs better in increasing convergence speed and reducing ghosting artifacts compared with the conventional techniques.

Performance Improvement for Tracking Small Targets (고기동 표적 추적 성능 개선을 위한 연구)

  • Jung, Yun-Sik;Kim, Kyung-Su;Song, Taek-Lyul
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.11
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    • pp.1044-1052
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    • 2010
  • In this paper, a new realtime algorithm called the RTPBTD-HPDAF (Recursive Temporal Profile Base Target Detection with Highest Probability Data Association Filter) is presented for tracking fast moving small targets with IIR (Imaging Infrared) sensor systems. Spatial filter algorithms are mainly used for target in IIR sensor system detection and tracking however they often generate high density clutter due to various shapes of cloud. The TPBTD (Temporal Profile Base Target Detection) algorithm based on the analysis of temporal behavior of individual pixels is known to have good performance for detection and tracking of fast moving target with suppressing clutter. However it is not suitable to detect stationary and abruptly maneuvering targets. Moreover its computational load may not be negligible. The PTPBTD-HPDAF algorithm proposed in this paper for real-time target detection and tracking is shown to be computationally cheap while it has benefit of tracking targets with abrupt maneuvers. The performance of the proposed RTPBTD-HPDAF algorithm is tested and compared with the spatial filter with HPDAF algorithm for run-time and track initiation at real IIR video.

Multi-Small Target Tracking Algorithm in Infrared Image Sequences (적외선 연속 영상에서 다중 소형 표적 추적 알고리즘)

  • Joo, Jae-Heum
    • Journal of the Institute of Convergence Signal Processing
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    • v.14 no.1
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    • pp.33-38
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    • 2013
  • In this paper, we propose an algorithm to track multi-small targets in infrared image sequences in case of dissipation or creation of targets by using the background estimation filter, Kahnan filter and mean shift algorithm. We detect target candidates in a still image by subtracting an original image from an background estimation image, and we track multi-targets by using Kahnan filter and target selection. At last, we adjust specific position of targets by using mean shift algorithm In the experiments, we compare the performance of each background estimation filters, and verified that proposed algorithm exhibits better performance compared to classic methods.

Accuracy Assessment of Sharpening Algorithms of Thermal Infrared Image Based on UAV (UAV 기반 TIR 영상의 융합 기법 정확도 평가)

  • Park, Sang Wook;Choi, Seok Keun;Choi, Jae Wan;Lee, Seung Ki
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.6
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    • pp.555-563
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    • 2018
  • Thermal infrared images have the characteristic of being able to detect objects that can not be seen with the naked eye and have the advantage of easily obtaining information of inaccessible areas. However, TIR (Thermal InfraRed) images have a relatively low spatial resolution. In this study, the applicability of the pansharpening algorithm used for satellite imagery on images acquired by the UAV (Unmanned Aerial Vehicle) was tested. RGB image have higher spatial resolution than TIR images. In this study, pansharpening algorithm was applied to TIR image to create the images which have similar spatial resolution as RGB images and have temperature information in it. Experimental results show that the pansharpening algorithm using the PC1 band and the average of RGB band shows better results for the quantitative evaluation than the other bands, and it has been confirmed that pansharpening results by ATWT (${\grave{A}}$ Trous Wavelet Transform) exhibit superior spectral resolution and spatial resolution than those by HPF (High-Pass Filter) and SFIM (Smoothing Filter-based Intensity Modulation) pansharpening algorithm.

The effective noise reduction method in infrared image using bilateral filter based on median value

  • Park, Chan-Geun;Choi, Byung-In
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.12
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    • pp.27-33
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    • 2016
  • In this paper, we propose the bilateral filter based on median value that can reduce random noise and impulse noise with minimal loss of contour information. In general, EO / IR camera to generate a random or impulse noise due to a number of reasons. This noise reduces the performance of detecting and tracking by signal processing. To reduce noise, our proposed bilateral filter sorts the values of the target pixel and the peripheral pixels, and extracts a median filter coefficients of the Gaussian type. Then to extract the Gaussian filter coefficient involved with the distance between the center pixel and the surrounding pixels. As using those filter coefficients, our proposed method can remove the various noise effectively while minimizing the loss of the contour information. To validate our proposed method, we present experimental results for several IR images.

An Implementation of an Infrared System for the 3D Navigator (3차원 Navigator에 적용할 적외선 시스템의 구성)

  • Shin, D.I.;Huh, S.J.
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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    • pp.315-316
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    • 1998
  • The purpose of this study is a potentiality examination of an infrared camera system for the 3D navigator which can be used in the field of neurosurgery. Nowadays, CAS(computer aided surgery) technique using 3D navigator is rapidly spread into the neurosurgeric operation such as brain and spine surgery. Several techniques which can detect 3D position of a probe have been proposed. These include mechnical arm, magnetic field, optical and ultrasonic sensing methods. In this study, we decided that using optical sensing method and tested a conventional CCD camera with a infrared filter and LEDs. Pulnix TM-300 camra has sufficient spectral response in the range of near infrared. Acquired image of infrared LEDs also sufficient quality.

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Small Target Detection Using 3-dimensional Bilateral Filter (3차원 양방향 필터를 이용한 소형 표적 검출)

  • Bae, Tae-Wuk
    • Journal of Korea Multimedia Society
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    • v.16 no.6
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    • pp.746-755
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    • 2013
  • This paper presents a three dimensional bilateral filter detecting target trajectory, extracting spatial target information using two dimensional bilateral filter and temporal target information using one dimensional bilateral filter. In order to discriminate edge pixel with flat background and target region spatially and temporally, spatial and temporal variance are used for an image and temporal profile. With this procedure, background and background profile are predicted without original target through two dimensional and one dimensional bilateral filter. Finally, using spatially predicted background and temporally predicted background profile, small target can be detected. For comparison of existing target detection methods and the proposed method, the receiver operating characteristics (ROC) is used in experimental results. Experimental results show that the proposed method has superior target detection rate and lower false alarm rate.

Development of a Flatbed Scanner for Reflection Infrared Photography (반사 적외선 사진을 위한 평판 스캐너의 개발)

  • Choi, Young-Ho;Hwang, Min-Ku;Har, Dong-Hwan
    • The Journal of the Korea Contents Association
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    • v.11 no.4
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    • pp.57-66
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    • 2011
  • At this time, digital cameras are used in art and forensic science. However, the digital camera has some limitations which need to understand of photograph and lighting. It is a useful paper to make an infrared flatbed scanner. The following processes offer an infrared flatbed scanner development. First, the infrared flatbed scanner changes visible fluorescent lamp to infrared LED. Second, it equips a long-pass filter, which is available to pass over 810nm wavelength, on the glass to complete the optimal infrared flatbed scanner. In addition, it must copy from digital camera to computer directly. The infrared digital camera has disadvantage to always irradiate infrared lamp. Because of difference between visible length and infrared length characteristic, they have different focal distance. This devised scanner for solving mentioned problems does not need to irradiate infrared lamp, and there is not a problem about focal point because the depth of field of flatbed scanner is minimum 2mm. Lastly, the infrared flatbed scanner can make high resolution which is 12,800dpi unlike digital camera. Accordingly, the infrared scanner looks forward to be used in many field of study.

Temperature Compensation Algorithm of Nondispersive Infrared (NDIR) Gas Sensor (비분산 적외선 가스센서의 온도보상 알고리즘)

  • Park, Jong-Seon;Yi, Seung-Hwan
    • Journal of the Korean Institute of Gas
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    • v.15 no.4
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    • pp.51-55
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    • 2011
  • This paper describes the temperature compensation algorithm using thermopile detector for nondispersive infrared methane gas sensor. From the output voltage of thermistor that is attached onto the infrared detector, the ambient temperature was extracted. The effects of temperatures on the properties of sensor module (the characteristics of narrow bandpass filter, optical cavity and infrared lamp, and gas absorption coefficient times optical path length) have been introduced in order to implement the temperature compensation algorithm. Even though the measurement error of developed sensor module was in the range of $\pm$ 1,500 ppm, after programming the temperature compensation algorithm, the developed sensor module shows a high accuracy less than +180 ppm error within $20^{\circ}C$ temperature variation.

Electromagnetic Susceptibilty design of High-Speed Image Signal Processing Unit for Small Infrared Image Homing sensor (적외선 영상 호밍센서 고속 영상신호처리기의 전자기파 내성 설계)

  • Kim, Hong-Rak;Park, Jin-Ho;Kim, Kyoung-Il;Jeon, Hyo-won;Shin, Jung-Sub
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.2
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    • pp.27-33
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    • 2022
  • The small infrared image homing sensor is the eye of a guided weapon that has an infrared image sensor that identifies a target on the ground through day and night infrared image processing and searches, detects, and tracks the target. Inside the guided weapon since the power supply and communication line are used together with various components, the part against electromagnetic wave interference is very important. In particular, the effect of CE (Conducted Emission) through the power and communication lines connected by cables is very important. Through this method, it is possible to directly affect other components of the guided weapon. In this paper, the EMI filter and cable design for avoiding electromagnetic interference to the power input through the cable and the communication line are described. Also, the designed EMI filter is manufactured After the CE102 test of MIL-STD-461G, design satisfaction will be explained.