• 한국멀티미디어학회논문지
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• 제17권11호
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• pp.1270-1278
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• 2014

The modern infrared (IR) imaging systems use mainly one or more wavelength bands among short wavelength IR (SWIR), middle wavelength IR (MWIR), and long wavelength IR (LWIR) bands. In the process of IR image synthesis and modeling, IR image wavelength-band conversion which transforms arbitrary band image to other band one is required. The wavelength-band conversion procedure includes a temperature estimation process of an object surface. However, in this procedure, an approximated Planck's radiation equation causes errors in estimated temperature. In this paper, we propose an estimation temperature error attenuation method in IR image band conversion procedure. The estimated temperature is corrected with a slope information of radiance according to it. The corrected temperature is used for generation of the other band IR image. The verification of proposed method is demonstrated through the simulation.

• 한국군사과학기술학회지
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• 제16권2호
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• pp.207-213
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• 2013

An infrared image synthetic method is proposed for infrared system simulation. The synthesis image uses a background IR image captured from real scene and a target IR modeling image. The radiances related with maximum and minimum temperatures of the background and target images are calculated from the Planck's blackbody equation. Based on them, the background and target images are compensated and synthesized. The proposed method is simulated and the IR target images are generated by RadThermIR software.

• Transactions on Electrical and Electronic Materials
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• 제18권6호
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• pp.341-344
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• 2017

Infrared (IR) filters were developed to implement integrated three-dimensional (3D) image sensors that are capable of obtaining both color image and depth information at the same time. The combination of light filters applicable to the 3D image sensor is composed of a modified IR cut filter mounted on the objective lens module and on-chip filters such as IR pass filters and color filters. The IR cut filters were fabricated by inorganic $SiO_2/TiO_2$ multilayered thin-film deposition using RF magnetron sputtering. On-chip IR pass filters were synthetized by dissolving various pigments and dyes in organic solvents and by subsequent patterning with photolithography. The fabrication process of the filters is fairly compatible with the complementary metal oxide semiconductor (CMOS) process. Thus, the IR cut filter and IR pass filter combined with conventional color filters are considered successfully applicable to 3D image sensors.

• 품질경영학회지
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• 제41권3호
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• pp.405-412
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• 2013

Purpose: In this paper, the improvement of the image quality is investigated. The image quality is degraded by the drift phenomenon of EO/IR (Electro-Optical/Infrared) device on UAV. The drift phenomenon means that the image of EO/IR equipment on UAV(Unmanned Aerial Vehicle) moves to the unintended direction. This phenomenon should be improved for successful flight mission. Methods: To improve the drift phenomenon, the drift compensation method, the combination algorithm of FMC(Forward Motion Compensation) and AMC(Angular Motion Compensation) method, are introduced to calculate pitch and azimuth angle. Result values of pitch and azimuth angle are used for the improvement of image quality in EO/IR control logic. Results: The image quality is quantitatively improved more than 15 times through field test data of flight. Conclusion: Using the drift compensation technique, the image quality for EO/IR equipment is improved over 15 times than existing methods. This means the user of UAV with EO/IR device can perform a successful mission by keeping the line of sight for the target accurately.

• 한국군사과학기술학회지
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• 제11권4호
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• pp.107-115
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• 2008

Accurate extraction of traversable region is a critical issue for autonomous navigation of unmanned ground vehicle(UGV). This paper introduces enhanced extraction of traversable region by combining scene clustering with 3D world modeling using CCD(Charge-Coupled Device)/IR(Infra Red) image. Scene clustering is developed with K-means algorithm based on CCD and IR image. 3D world modeling is developed by fusing CCD and IR stereo image. Enhanced extraction of traversable regions is obtained by combining feature of extraction with a clustering method and a geometric characteristic of terrain derived by 3D world modeling.

• 디지털융복합연구
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• 제11권8호
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• pp.191-197
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• 2013

본 논문에서는 광학식 기법을 이용한 적외선 센서(IR Sensor)를 이용하여 지폐 계수기에서 지폐가 32채널 IR Sensor를 지났을 때 빛에 대한 반사량과 투과량을 측정하여 진폐와 위폐를 구분하는 방법을 구현하였다. 진 위폐를 감별하기 위하여 10bit gray scale의 지폐 IR 이미지를 사용하였으며, 지폐이미지 정보는 0부터 4095까지이다. IR 이미지의 특징은 어두운 부분과 밝은 부분으로 나뉘며, 위폐는 이러한 IR 특징이 진폐와 다르게 나타난다. 적외선 센서는 비교적 고가이었으나 최근 대량생산으로 가격이 저렴해져 이 분야에 적용이 적합하다. 제안된 방법에서는 IR 특징을 정의한 SW의 Table과 입력된 IR 이미지의 특징을 비교하여 진폐 및 위폐를 감별하는 방법을 사용하였다. 결과적으로 구현된 시스템의 성능은 유로화 진폐의 경우 권종에 따라 1-2%의 오인식 경우가 있으나, 여러 나라의 위폐의 경우 100% 검출하여 구현 성능이 양호함을 보였다.

• 조명전기설비학회논문지
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• 제27권4호
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• pp.54-61
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• 2013

UV-IR camera is being used for predictive maintenance of high voltage equipment together with measurement of temperature on localized heat and corona discharge. This paper was suggested the judgement method that is the discharge count, UV image pattern and discharge matching rate to apply the UV-IR camera on power facility. The discharge count method is counted by UV image pixel value. the UV image pattern method is determined by the UV image shape using neural network algorithm method, separated by Sunflower, Jellyfish, Ameba. The UV discharge matching is compare the breakdown the UV image size and measuring UV image size according to distance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.2749-2763
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• 2021

The desirable result of infrared (IR) and visible (VIS) image fusion should have textural details from VIS images and salient targets from IR images. However, detail information in the dark regions of VIS image has low contrast and blurry edges, resulting in performance degradation in image fusion. To resolve the troubles of fuzzy details in dark regions of VIS image fusion, we have proposed a method of reflectance estimation for IR and VIS image fusion. In order to maintain and enhance details in these dark regions, dark region approximation (DRA) is proposed to optimize the Retinex model. With the improved Retinex model based on DRA, quasi-Newton method is adopted to estimate the reflectance of a VIS image. The final fusion outcome is obtained by fusing the DRA-based reflectance of VIS image with IR image. Our method could simultaneously retain the low visibility details in VIS images and the high contrast targets in IR images. Experiment statistic shows that compared to some advanced approaches, the proposed method has superiority on detail preservation and visual quality.

• Korean Journal of Radiology
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• 제23권4호
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• pp.402-412
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• 2022

Objective: To evaluate the image quality and lesion detectability of lower-dose CT (LDCT) of the abdomen and pelvis obtained using a deep learning image reconstruction (DLIR) algorithm compared with those of standard-dose CT (SDCT) images. Materials and Methods: This retrospective study included 123 patients (mean age ± standard deviation, 63 ± 11 years; male:female, 70:53) who underwent contrast-enhanced abdominopelvic LDCT between May and August 2020 and had prior SDCT obtained using the same CT scanner within a year. LDCT images were reconstructed with hybrid iterative reconstruction (h-IR) and DLIR at medium and high strengths (DLIR-M and DLIR-H), while SDCT images were reconstructed with h-IR. For quantitative image quality analysis, image noise, signal-to-noise ratio, and contrast-to-noise ratio were measured in the liver, muscle, and aorta. Among the three different LDCT reconstruction algorithms, the one showing the smallest difference in quantitative parameters from those of SDCT images was selected for qualitative image quality analysis and lesion detectability evaluation. For qualitative analysis, overall image quality, image noise, image sharpness, image texture, and lesion conspicuity were graded using a 5-point scale by two radiologists. Observer performance in focal liver lesion detection was evaluated by comparing the jackknife free-response receiver operating characteristic figures-of-merit (FOM). Results: LDCT (35.1% dose reduction compared with SDCT) images obtained using DLIR-M showed similar quantitative measures to those of SDCT with h-IR images. All qualitative parameters of LDCT with DLIR-M images but image texture were similar to or significantly better than those of SDCT with h-IR images. The lesion detectability on LDCT with DLIR-M images was not significantly different from that of SDCT with h-IR images (reader-averaged FOM, 0.887 vs. 0.874, respectively; p = 0.581). Conclusion: Overall image quality and detectability of focal liver lesions is preserved in contrast-enhanced abdominopelvic LDCT obtained with DLIR-M relative to those in SDCT with h-IR.

• 한국지능시스템학회논문지
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• 제22권5호
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• pp.610-616
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• 2012

본 논문에서는 선박의 안전 항행을 위하여 해양 IR 영상으로부터 선박, 암초, 부이 등과 같은 해상 물표를 탐지하기 위한 기법을 제안한다. 이를 위하여 먼저 주어진 IR 영상을 평탄화 한 후, 워터쉐드 알고리즘을 이용하여 영역을 분할한다. 워터쉐드 알고리즘은 거의 항상 과분할된 영역을 생성하기 때문에 의미있는 영역 분할을 위해 과분할 영역에 대한 병합 과정이 필요하다. 우리는 빠른 병합을 위해 픽셀에 대한 직접 접근을 단 2회만 수행하는 효율적인 영역 병합 알고리즘을 제안한다. 또한 해양 IR 영상에 대한 분석을 통해 해양 물표에서는 수평방향의 에지가 집중적으로 나타나는 것을 확인하였다. 따라서 본 논문에서는 주어진 영상으로부터 수평에 지를 추출한 후 모폴로지 연산을 통해 배경 및 잡음에 의해 만들어진 고립된 수평에지를 제거한 다음, 이전 단계에서 얻은 분할된 영역 중 수평 방향의 에지영역을 갖는 영역을 물표 영역으로 검출한다. 마지막으로 실험을 통하여 제안된 기법의 타당성을 보였다.